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{
    "page": "https://www.indeed.com/viewjob?jk=a9b18ec368cf6628&tk=1e6ln9ho0qi9j800&from=serp&vjs=3",
    "data": [{
        "location": {
            "text": "New York, NY 10036"
        },
        "job_title": {
            "text": "People Analytics Data Scientist"
        },
        "company_name": {
            "0": [{
                "text": "D. E. Shaw & Co., L.P."
            }]
        },
        "job_description": {
            "text": "The D. E. Shaw group seeks a data scientist to join its Human Capital Analytics and Products (HCAP) team. Members of HCAP are curators of employee data and leverage it to help answer strategic and operational talent questions for leaders across the business.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nExplore\n\n\n\n\n\n\nLeadership\nFounder\nOur People\nHear from the Group\nCore Principles\nDiversity and Inclusion\nCommunity Impact\nSustainability\n\n\n\n\n\n\n\nInvestment Approach\nManaging Risk\nRenewables\nIndustry Leadership\n\n\n\n\n\n\nHow To Join\n\nCareer Development\nChoose Your Path\nInterviewing\nInternships\nUpcoming Events\nFellowship Program\nApplication FAQ\n\n\n\n\n\n\n\n\n\n\n\nWhat you’ll do day-to-day\nThe data scientist will be responsible for envisioning, implementing, and maintaining the technical infrastructure that will drive HCAP’s people analytics priorities forward. The output of this effort will be automated reporting products and data visualizations that provide efficient access to talent insights for senior business leaders throughout the firm. This position provides ample opportunities to collaborate with technical professionals across the firm and deliver best-in-class people analytics infrastructure, including the design and implementation of a central data warehouse.\n\n\n\n\nWho we're looking for\n\n\nIdeal applicants will have a bachelor’s degree or higher and three to five years of relevant work experience developing automated analytical reporting products in a business setting. Experience building ETLs, manipulating data at scale, and overseeing the technical operations of data infrastructure is essential.\nKnowledge of scripting languages for data retrieval and transformation (e.g., R, Python, SQL) is critical. The ability to collaborate with a product manager and software development team in the architecture of a central data warehouse that will facilitate efficient reporting automation is also vital.\nFamiliarity with business intelligence programs (e.g., Tableau, Power BI, Pentaho, Shiny) and leading practices in data visualization is desired.\nIndividuals who possess a dedicated customer service mentality, excellent interpersonal communication skills, an ability to see how small details impact the bigger picture, and a knack for rapid problem solving are highly sought after.\nWillingness to dive into details, collaborate effectively with teammates, and drive projects to completion is imperative. The ability to exercise extreme discretion with confidential information is also essential.\nPeople analytics experience is preferred but not required.\n\n\n\n\nThe members of the D. E. Shaw group do not discriminate in employment matters on the basis of race, color, religion, gender, pregnancy, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, disability, or any other category protected by law. Note that for us, this is more than just a legal boilerplate. We are genuinely committed to these principles, which form an important part of our corporate culture, and are eager to hear from extraordinarily well qualified individuals having a wide range of backgrounds and personal characteristics.\n\n\nThe D. E. Shaw group may collect, use, hold, transfer, and process candidates'' resumes and associated information (including personal information contained therein) for purposes reasonably related to their application, including without limitation: review and management of employment applications and supporting materials; administration and management of offers to and communication with candidates; and administration, management, and improvement of the recruiting operations of the D. E. Shaw group; and/or where reasonably required in connection with a proposed sale, spin-out, reorganization, or outsourcing of all or some of the business of the D. E. Shaw group. The D. E. Shaw group will not use such information for purposes unrelated to the foregoing, such as direct marketing of third-party products to candidates, without candidate consent. As used herein, the term \"personal information\" is meant to broadly describe information identifying or relating to a specific individual; it is intended to encompass \"personal data,\" \"sensitive personal data,\" and \"personally identifiable information\" and similar terms, as those terms are defined by law in the jurisdictions in which the D. E. Shaw group operates.\nThe D. E. Shaw group may transfer such personal information within and outside the country and jurisdiction of the locations where the D. E. Shaw group maintains offices, to other D. E. Shaw group affiliates, to government and regulatory authorities, and to third parties which provide or may provide support and/or services to the D. E. Shaw group and for the purposes set forth above. The persons who may have access to this personal information are other employees of the D. E. Shaw group, in connection with the performance of their duties of employment, and the other parties listed above, in connection with the business of the D. E. Shaw group. (Of course, candidates will be considered for employment opportunities only in those countries in which they express interest.)\nThe D. E. Shaw group will use reasonable care to maintain the confidentiality of personal information (including appropriate technical measures against unauthorized or unlawful processing and against accidental loss or destruction of, or damage to, such information) and will retain such data as required by applicable law or regulation. Candidates have the right to request access to, and correction of, their personal information in accordance with applicable law; any such request should be submitted to recruiting-inquiries@deshaw.com. Candidates who have submitted a resume to the D. E. Shaw group and do not wish to proceed with their applications should email cvwithdraw@deshaw.com. Personal information of candidates who have been the subject of background checks may have been transferred in accordance with applicable regulations, including without limitation the E.U.-U.S. Privacy Shield; any concerns with such transfers should be submitted to backgroundcheck-inquiries@deshaw.com.\nThe D. E. Shaw group may retain candidates’ information for use in future recruitment exercises; candidates who do not agree to such future use should email recruiting-inquiries@deshaw.com.\n\n\n\n\n\nNew York City HQ\n1166 Avenue of the Americas\nNew York, NY 10036"
        }
    }]
} {
    "page": "https://www.indeed.com/viewjob?jk=e2766bc59236c88b&tk=1e6lnngssqi9j800&from=serp&vjs=3",
    "data": [{
        "location": {
            "text": "New York, NY"
        },
        "job_title": {
            "text": "Associate Machine Learning Engineer / Data Scientist May 2020 Undergrad"
        },
        "company_name": {
            "0": [{
                "text": "Fareportal"
            }]
        },
        "job_description": {
            "text": "(We are unable to sponsor for this role or in the future)\n\n\n\nFareportal is currently seeking a Associate Machine Learning Engineer / Data Scientist May 2020 Undergrad for our Data Science team.\n\n\n\nAt Fareportal, we create the technology that is driving innovation in the travel industry - one of the world's fastest-growing sectors. Our employees are the core of our organization and together we're revolutionizing the way people book travel.\n\n\n\nOur portfolio of brands including CheapOair and OneTravel receive over 100 million visitors annually and drive over $4 billion in annual revenue.\n\n\n\nIn addition to competitive pay and benefits, generous time off, and frequent company-wide social events, Fareportal provides employees with an environment that nurtures diversity, creativity, and success. Our open and Agile workspace gives our employees the time and space for collaboration, brainstorming, and research and development. At Fareportal, you'll be challenged, rewarded, and motivated to work effectively day in and day out.\n\n\n\nOur Associate Machine Learning Engineer will be handling hundreds of millions of events per day, responsible for creating and supporting machine learning models that will drive our business.\n\n\n\nMachine Learning Engineers is at the heart of how Fareportal works and they are part software engineer and part machine learning / data scientist. You will focus on creating and supporting large scale models that we deploy to power our recommendation, pricing or other systems.\n\n\n\nThe ideal candidate will participate in the design and implementation of the entire model pipeline, from project ideation, figuring out which data to capture and store, coming up with features, to creating the final model.\n\n\n\nWe are passionate about making data-driven decisions and you will have the opportunity to shape the team's direction and create large impact.\n\n\n\nOur team loves Python and Scala (and is not afraid of Functional Programming) and we strongly encourage DevOps approaches.\n\n\n\nResponsibilities:\n\n\nSupport our data modeling efforts to ensure we are capturing the data needed to improve our modelin\nCreate features for our feature store\nBuild machine learning models\nUse a variety of techniques including predictive modeling, recommendation engines, revenue\nmanagement, conversion rate optimization, and site and user experience optimization.\n\nOur ideal candidate:\n\nWho You Are\n\n\n\n\nYou are smart and love to build systems that are well tested as well as flexible\nYou like being around smart people who will challenge you on a daily basis.\nYou love to ramp up on new technologies to build awesome things with us!\nPassionate about working with large unstructured and structured data sets and developing new approaches to relevance problems\n\nRequirements\n\n\n\n\nBachelor in Computer Science, Software engineering, Data Science or related disciplines (we are open to exceptions) - Only May 2020 Undergraduates\nGood knowledge of one of: Python or Scala\nSolid understanding of object oriented or functional programming concepts\nFamiliarity with version control concepts\nGood knowledge of machine learning\nGood knowledge of Pyspark\nGood knowledge of software engineering best practices"
        }
    }]
} {
    "page": "https://www.indeed.com/viewjob?jk=757615d98429c1fd&tk=1e6lnngssqi9j800&from=serp&vjs=3",
    "data": [{
        "location": {
            "text": "New York, NY 10012"
        },
        "job_title": {
            "text": "Programmer/Data Scientist"
        },
        "company_name": {
            "0": [{
                "text": "New York University"
            }]
        },
        "job_description": {
            "text": "New York University: NYU - Domestic: Faculty of Arts and Science (FAS): Politics Department\n\n\n\n\nLocation\nNew York City\n\n\nOpen Date\nFeb 22, 2019\n\n\n\n\nDescription\n\n\nThe SMaPP lab at NYU is looking for a full-time software engineer to help build software and\n\ntools for collecting, processing, analyzing, and understanding large social media data sets. You\n\nwill use modern programming tools to manage multi-terabyte databases, build data pipelines,\n\npreprocess data, and produce meaningful data visualizations. We require candidates to have\n\neither experience programming in relevant environments OR a degree in CS. Significant skills\n\nworking with Python are mandatory. Experience with linux/unix systems and bash, SQL, R or\n\njavascript is a plus, as is experience with natural language processing, machine learning\n\nmodels, and network analysis. Interest in politics or social science combined with these\n\nprogramming skills is a plus.\n\n\n\n\nYou will be given the opportunity to participate fully in the research environment, including\n\nauthoring papers and open source software, attending conferences and seminars, and working\n\nclosely with a broad group of researchers associated with the lab.\n\n\n\n\nThe New York University Social Media and Political Participation (SMaPP) laboratory\n\n(https://smappnyu.org/about/) is a path-breaking, interdisciplinary lab bringing new collaborative\n\nresearch models to the study of politics. Established in the fall of 2012, the lab’s goals are\n\nthreefold: (1) to pursue research on the relationship between social media and politics; (2) to\n\npursue research featuring the innovative use of social media data to study politics and political\n\nphenomena; and (3) to develop open source tools that facilitate the use of social media data for\n\nthe study of politics.\n\n\n\n\nFor more information about our goals, methods, and recent publications see:\n\nhttps://smappnyu.org\n\n\n\n\nFor links to additional SMaPP lab papers see:\n\nhttps://smappnyu.org/journal-articles/\n\n\n\n\nFor examples of SMaPP lab research and researchers being discussed in the media, see:\n\nhttps://smappnyu.org/mediaevents/media/\n\n\n\n\n\n\nQualifications\n\n\nRequired education: an undergraduate degree in computer science or an analytical social\n\nscience\n\n\n\n\nRequired experience: significant knowledge of and experience with programming in Python\n\n\n\nPreferred education: master’s in computer science, data science, or an analytical social\n\nscience is a plus\n\n\n\nPreferred experience: 1+ years programming in a relevant environment, either in research or\n\nindustry; fluency with linux/unix systems and bash, SQL, R, or Javascript; experience with\n\nnatural language processing, machine learning models, and network analysis is a plus\n\n\n\n\n\n\nApplication Instructions\n\n\nPlease send a CV and links to any relevant coding projects, websites, or projects. A brief cover\n\nletter describing relevant experience and explaining your interest in the position is optional, but it\n\nwould be helpful if you can highlight specific skills or experiences that you believe would be\n\nvaluable for success in this position."
        }
    }]
} {
    "page": "https://www.indeed.com/viewjob?jk=589dc174e3ae03e0&tk=1e6lnngssqi9j800&from=serp&vjs=3",
    "data": [{
        "location": {
            "text": "New York, NY"
        },
        "job_title": {
            "text": "Marketing Data Scientist, gTech Professional Services"
        },
        "company_name": {
            "0": [{
                "text": "Google"
            }]
        },
        "job_description": {
            "text": "Note: By applying to this position your application is automatically submitted to the following locations: Mountain View, CA, USA; New York, NY, USA\nMinimum qualifications:\n\nBachelor's degree in Statistics, Computer Science, Engineering, or Mathematics, related quantitative discipline, or equivalent practical experience.\nExperience in data science with a focus on marketing analytics, statistical modeling, machine learning, forecasting and optimization.\nExperience in Python and/or R, and in data management systems.\n\n\n\nPreferred qualifications:\n\nPhD in Statistics, Computer Science, Engineering, or Mathematics.\nExperience with big data and cloud platforms to deploy large-scale data science solutions.\nExperience working in industries such as retail, financial services, telecommunications and automotive (including in a client-facing consulting or advisory capacity), and the ability to navigate complex business organizations and manage multiple cross-functional stakeholders.\nUnderstanding of media and the statistical algorithms typically used in marketing analytics.\n\n\nAbout the job\ngTech’s Professional Services team takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities.\ngTech Professional Services takes a creative, collaborative, and customer-centric approach to provide foundational services and forward-looking business solutions to top advertiser and publisher customers. Through technical implementation, optimization, and key solutions, gTech Professional Services helps customers attain their business goals while building long-term capabilities. gTech Data Analysts work with Google’s Sales, Product, and Engineering teams to develop services and improve our products based on the evolving needs of users. You will ask the right business questions of Google’s internal stakeholders and larger clients to deliver innovative and actionable quantitative models and analyses. You will have an impact on marketing effectiveness and return on investment for Google’s clients.\nGoogle creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.\n\n\n\nTo learn more about gTech, check out our video.\n\n\nResponsibilities\n\nSupporting complex client engagements in marketing effectiveness and portfolio management with high quality data science solutions, augmenting product results where appropriate (such as Google Analytics 360).\nDesigning new methodologies, pulling necessary data, building statistical and machine-learned models with accuracy, and analyzing experiments, applying critical thinking throughout.\nCollaborating across internal teams and clients, and managing opportunities and challenges in ways that improve processes and help clients become more data savvy.\nCommunicating and visualising insights to multiple levels of stakeholders with clarity, informing decision-making.\n\n\nAt Google, we don’t just accept difference—we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form."
        }
    }]
} {
    "page": "https://www.indeed.com/viewjob?jk=27d69c8ae32e48ce&tk=1e6lnngssqi9j800&from=serp&vjs=3",
    "data": [{
        "location": {
            "text": "New York, NY"
        },
        "job_title": {
            "text": "Data Scientist, Advertising"
        },
        "company_name": {
            "0": [{
                "text": "Amazon.com Services LLC"
            }]
        },
        "job_description": {
            "text": "Bachelor's Degree\n3+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)\n2 years working as a Data Scientist\n\nMS with 2+ years of industry experience or Bachelors with 5+ years of experience in Quantitative field (CS, ML, Mathematics, Statistics, Physics)\n3+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab)\nExperience in creating data driven visualizations to describe an end-to-end system\nHighly skilled in data and math/statistical methods (i.e. modeling, algorithms)\nEvidence of using of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. in data analysis projects\n\n\n\nAmazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.\n\n\n\nMajor responsibilities include:\n\n\n\nTranslate / Interpret:\n\n\nTranslate business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data.\n\nMeasure / Quantify/Expand\n\n\nRetrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.\nAnalyze historical data to identify trends and support decision making.\nImprove upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters.\nProvide requirements to develop analytic capabilities, platforms, and pipelines.\nApply statistical or machine learning knowledge to specific business problems and data.\n\nExplore / Enlighten\n\n\nFormalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify these outliers. Work out why such examples are outliers and define if any actions needed.\nGiven anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.\n\nMake Decisions or Recommendations\n\n\nBuild decision-making models and propose solution for the business problem you defined\nConduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication.\nUtilize code (python or another object oriented language) for data analyzing and modeling algorithms\n\n\n\n\n\n\nDepth and breadth in quantitative knowledge. Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools.\nExperience processing, filtering, and presenting large quantities (Millions to Billions of rows) of data\nCombination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization\nDemonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment\nExcellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams and business audiences\nAbility to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations\nDemonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment\nExperience in advertising is a plus\n\n\n\nAmazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation"
        }
    }]
} {
    "page": "https://www.indeed.com/viewjob?jk=2afe29310db4b694&tk=1e6lnngssqi9j800&from=serp&vjs=3",
    "data": [{
        "location": {
            "text": "New York, NY"
        },
        "job_title": {
            "text": "Data Scientist"
        },
        "company_name": {
            "0": [{
                "text": "DataDog"
            }]
        },
        "job_description": {
            "text": "About Datadog:\nWe're on a mission to build the best platform in the world for engineers to understand and scale their systems, applications, and teams. We operate at high scale—trillions of data points per day—providing always-on alerting, metrics visualization, logs, and application tracing for tens of thousands of companies. Our engineering culture values pragmatism, honesty, and simplicity to solve hard problems the right way.\n\n\nThe opportunity:\nYou will have a fantastic team of data engineers to support you, a collaborative environment to encourage your work, and the best technologies for performing data science at high scale in your toolkit.\n\n\n\nYou will:\n\nPresent the latest academic research papers to your team.\nResearch and benchmark the latest algorithms that can be used for our particular use-cases.\nApply machine learning algorithms and statistical techniques to build new product features.\nDeploy a new feature to production, instantly affecting customers with your work.\nMentor other data scientists on your team.\nExplore and find meaning in extremely high volumes of data.\nInvestigate and fix a production issue from a service your team owns.\n\n\n\nRequirements:\n\nYou have 2 + years professional experience\nYou are fluent with SQL / relational algebra.\nYou have mastered working with data in a language such as Python, R, or Julia.\nYou’ve done data science at high scale with tools like Hadoop and Spark.\nYou have backend programming experience in one or more languages.\nYou have significant experience applying machine learning to real business problems.\nYou want to work in a fast, high-growth startup environment and thrive on autonomy.\nYou care about code simplicity and performance.\nYou have a BS/MS/PhD in a scientific field or equivalent experience.\nYou can explain complex ideas and algorithms in understandable ways.\n\n\n\nBonus points:\n\nYou’ve written production data pipelines.\nYou’re familiar with time series analysis."
        }
    }]
} {
    "page": "https://www.indeed.com/viewjob?jk=b15169de91c5abe1&tk=1e6loo9ivqi9j800&from=serp&vjs=3",
    "data": [{
        "location": {
            "text": "New York, NY 10017"
        },
        "job_title": {
            "text": "Data & Analytics Engineering Strategy & Innovation Lead"
        },
        "company_name": {
            "0": [{
                "text": "Cigna"
            }]
        },
        "job_description": {
            "text": "POSITION SUMMARY:\n\nThe major focus for this position will be leading the development, maintenance, and execution of Cigna's Data & Analytics Engineering strategy and roadmap, and the identification, evaluation, and sourcing of innovative data and analytics technologies and companies. The technology strategy and innovation roadmap will be used to enable a $100M+ portfolio of projects in the data and analytics space, as well as lay out the future state of the technology stack for data and analytics across the Cigna enterprise. This role will work closely with their business counterpart to target venture capital firms, incubators, start-ups, mature commercial partners and academia in order to evaluate their capabilities and applicable technologies to further accelerate strategy and deliver differentiating and disruptive capabilities in the health services space.\n\n\n\nThis position independently interfaces with key senior leaders up to SVP level stakeholders from the business segments, the functional operational areas and IT Applications, Architecture, Operations and Security.\n\n\n\nThis position has ultimate accountability for ensuring the business and technology needs are met and the program is delivered on time within budget and agreed upon scope.\n\n\n\nRESPONSIBILITIES:\n\n\nProvide thought leadership, contribute to, and facilitate the development, maintenance, and execution of Cigna's Data & Analytics Engineering strategy and roadmap in collaboration with key stakeholders and partners throughout Cigna.\nAct as point of contact for Data & Analytics Engineering to other strategy initiatives across Cigna to ensure alignment with other relevant business and IT functions.\nEstablish strong expertise across the data and analytics technology landscape including venture capital firms, incubators, start-ups, commercial and academic institutions with strategic alignment to Cigna's innovation strategy and Cigna Ventures direction.\nIn collaboration with the Global Data & Analytics Innovation Lead, engage with business and functional leaders in the organization to identify and scope strategic partnership opportunities with transformative and disruptive data and analytics capabilities that have strong value creation potential.\nCoordinate the piloting and evaluation of innovative partnership opportunities through a strong understanding of business and technology needs.\nPerform technology due diligence on potential partnerships and M&A targets.\nServes as a senior point of escalation for staff, business sponsors, IT executives and key project stakeholders.\nAct as a source of sound counsel to senior IT and business leaders.\nPartner with the senior leadership from the Business and IT community to identify and prioritize opportunities for achieving the goals of the program/enterprise.\nProvide consultative support in the area of business strategy development and solution assessments.\nAttract, recruit, manage, develop, and retain talented team members. This includes both hiring and growing employees as well as effective use of consultants or vendor partnerships.\nDevelop communication plans and interfaces with matrix teams, IT leadership, business leadership, and external vendors/partners.\nTrack and monitor the progress of key projects/programs and their associated milestones and recommend adjustments as necessary.\nBecome a proactive trusted advisor to Business – develop relationships with key Business and IT matrix partners.\n\nREQUIRED SKILLS:\n\n\nRecognized leader with proven track record of delivering software engineering initiatives, IT-application initiatives, and cross IT/business initiatives with scope commensurate with $25-$100M program portfolio.\n12 to 15 years of IT and business/industry work experience preferred, with at least 6 years of experience in a leadership role, and 8 years managing large-scale projects and programs, preferably some significant experience in healthcare.\nBS or MS in Computer Science or other related field is required.\nExperience developing strategic plans and roadmaps for large complex IT organizations.\nDemonstrated expertise in innovation across multiple areas including: Big Data, data science, machine learning, deep learning, artificial intelligence, IoT, etc.\nStrong capabilities in planning and delivering complex partnership initiatives.\nExperience working with venture capital firms, incubators, start-ups, mature commercial partners and academia.\nDeep people and matrix management skills and a strong ability to influence VP level leaders within business and IT.\nProven ability to resolve difficult and politically-spirited issues and mitigate risks that have the potential of undermining the delivery of critical initiatives.\nConsistently demonstrate key behaviors and skills such as leadership, communication, influencing, stakeholder/relationship management, thought leadership, and direction setting.\nConsistently demonstrate key competencies: courage, developing direct reports, hiring and staffing, managing through systems, managing vision and purpose, and professional savvy.\nStrong communication skills – ability to communicate to senior level executives in Business and IT.\n\nAbout Cigna\n\nCigna Corporation (NYSE: CI) is a global health service company dedicated to improving the health, well-being and peace of mind of those we serve. We offer an integrated suite of health services through Cigna, Express Scripts, and our affiliates including medical, dental, behavioral health, pharmacy, vision, supplemental benefits, and other related products. Together, with our 74,000 employees worldwide, we aspire to transform health services, making them more affordable and accessible to millions. Through our unmatched expertise, bold action, fresh ideas and an unwavering commitment to patient-centered care, we are a force of health services innovation.\n\n\n\nWhen you work with Cigna, you’ll enjoy meaningful career experiences that enrich people’s lives while working together to make the world healthier place. What difference will you make? To see our culture in action, search #TeamCigna on Instagram.\n\n\n\nQualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.\n\n\n\nIf you require an accommodation based on your physical or mental disability please email: SeeYourself@cigna.com. Do not email SeeYourself@cigna.com for an update on your application or to provide your resume as you will not receive a response."
        }
    }]
} {
    "page": "https://www.indeed.com/viewjob?jk=95a5de89ec4b02ad&tk=1e6ln9ho0qi9j800&from=serp&vjs=3",
    "data": [{
        "location": {
            "text": "New York, NY 10013"
        },
        "job_title": {
            "text": "Junior Data Scientist"
        },
        "company_name": {
            "0": [{
                "text": "1-800-Flowers"
            }]
        },
        "job_description": {
            "text": "As part of the NYC Innovation Team located in vibrant startup community Galvanize located in West Soho in Manhattan, this Junior Data Scientist will be joining a multi-versed team that demonstrates code proficiency and product ownership.\n\n\n\nThe NYC Innovation Team consists of cloud engineers and react, mobile, and UX developers. The team spans multiple brands as part of 1-800-Flowers and aims to provide value and innovation to new and ongoing projects alike.\n\n\n\nAs Junior Data Scientist, you will be responsible for collecting, cleaning, and extracting data from a variety of systems at 1-800-flowers with intention to run analysis on in order to provide insights to various business groups. Developing scripts and tools to provide artificial intelligence to data of different types will be asked of. You will also assist in creating best practices for the next stage of artificial intelligence in ecommerce from a data science point of view. Working across functional teams and providing insights into how to better market, sell, and retain customers will be a constant goal for this role."
        }
    }]
} {
    "page": "https://www.indeed.com/viewjob?jk=bbbf4f241a1097e1&tk=1e6ln9ho0qi9j800&from=serp&vjs=3",
    "data": [{
        "location": {
            "text": "New York, NY 10019"
        },
        "job_title": {
            "text": "(Junior) Data Scientist - Supply Chain & Operations"
        },
        "company_name": {
            "0": [{
                "text": "Penguin Random House LLC"
            }]
        },
        "job_description": {
            "text": "It’s an exciting time for publishing so we are looking for either a Junior Data Scientist or a Data Scientist to join our team! In this role, you will be working on the forefront of the digital transformation within the largest English language publisher. Due to the sheer scale of our organization, our supply chain and operational processes are key efficiency levers to drive our business forward. You will assist in identifying and leading supply chain analytics-based initiatives globally that will help create a competitively advantaged supply chain.\n\n\nUsing data science and machine learning related technologies and techniques unlocks value at scale from production to distribution. Collectively, these activities will improve customer experience, costs, and inventory productivity along with building capabilities to enable growth.\n\n\nThis role has a strong emphasis on cross-functional work conducting end-to-end solutions that includes gathering data, gaining insights, developing solutions, and presenting recommendations to both technical and non-technical stakeholders. We are looking for individuals with a strong quantitative or technical background who are interested in helping tackle difficult data problems to achieve real business impact.\n\n\nIf you have a passion for data science, complex analytical challenges and are comfortable working with big data, we’d like to hear from you!\n\n\n\nIn this role, you will:\n\nWork cross-functionally with data scientists, data engineers, business intelligence, and other stakeholders across the entire supply chain.\nExecute end-to-end data science projects, including ideation, data collection/engineering, modeling/machine learning, interpretation/visualization and deployment.\nImprove upon existing methodologies by developing new models, making model enhancements, and fine-tuning model parameters.\nCreate ad hoc, regular and automated data analysis and reporting with respect to inventory, back-orders, sales analysis, and returns.\nUse financial, transactional and billing data to build models for monitoring risk exposure and client behavior.\nDevelop supply chain and operations data science best practices to enable global knowledge transfer and to foster cross-divisional learning.\nCommunicate verbally and in writing to colleagues with various levels of technical knowledge, educating them about our solutions, as well as sharing insights and recommendations.\nPrioritize and multitask in a deadline driven environment and being keen to learn.\n\n\n\n\nPlease apply if you meet the following minimum requirements:\n\nBA/BS/MS in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Engineering, Operations Research, etc.\nAt least 1 year of related working experience\nStrong fluency and scripting experience with a scientific programming language; Python strongly preferred\nExperience in processing, filtering, and presenting large quantities (millions of rows) of data from (non-) relational databases (SQL, Spark, etc.)\nExcellent communication skills with the ability to identify and communicate data-driven insights and solutions\nBeing a team player, and able to work with others across various levels and roles\nExperience with AWS, Docker, Kubernetes, or similar tools, are a plus\n\n\n\n\nPenguin Random House is the leading adult and children’s publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 250 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children’s Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at http://www.penguinrandomhouse.com/.\n\n\n\nPenguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.\n\n\n\nCompany: Penguin Random House LLC\nCountry: United States of America\nState/Region: New York\nCity: NEW YORK\nPostal Code: 10019\nJob ID: 70621"
        }
    }]
} {
    "page": "https://www.indeed.com/viewjob?jk=9274a8f93359ab12&tk=1e6ln9ho0qi9j800&from=serp&vjs=3",
    "data": [{
        "location": {
            "text": "New York, NY 10019"
        },
        "job_title": {
            "text": "Data Analytics Intern"
        },
        "company_name": {
            "0": [{
                "text": "Cadent"
            }]
        },
        "job_description": {
            "text": "Cadent powers the evolution of TV brand advertising. We provide marketers, agencies, operators, and media owners with data-driven solutions for buying and selling TV advertising. By connecting brands with opportunities across national inventory sources—cable, broadcast, and digital media—our technology improves efficiencies and boosts the results of linear, addressable, and cross-screen campaigns.\n\n\n\nAs we continue to grow, we’re looking for an exceptional Data Analytics Intern to join our Addressable team for Summer 2020. Interns will have an opportunity to gain hands-on experience in our New York City office by working directly with our teams, not for them.\n\n\n\nInterns in each office will also spend the summer working on a group project. The project will be presented to a panel of company executives at the end of the summer. Details of the project and final presentation will be laid out by supervisors at the beginning of the program.\n\n\n\nSummer Interns will be responsible for fulfilling tasks set out by supervisors from the specific department they’re working in, including but not limited to:\n\n\n\n\nAttending team meetings,\nPerforming research,\nProviding administrative support to their supervisor and teammates\nUsing department-specific software to complete day-to-day assignments.\n\nPerks\n\n\n\n\nCompetitive pay\nCollege credit (if applicable)\nIntern development activities\nSummer outings\nLunch & learns within each field\n\nOur ideal A-Players will be:\n\n\nA rising senior pursuing a Computer Science bachelor's degree at a college or university\nHands-on experience with Python and Microsoft Excel\nExcellent verbal and written communicators\nSelf-motivated with a desire to learn from a rapidly growing company\nConfident to take initiative and collaborate with teammates\nAble to commit to a full-time (35-40 hours per week) work schedule between June 8, 2020 and August 7, 2020\n\nApplicants must submit a CV stating which department they'd like to intern for when applying.\n\n\n\nSo, if the leading edge of media technology is the place you want to be, please contact us today and let’s start the conversation!\n\n\n\n/CADENT/ is an EOE M/F/D/V. We do not work with 3rd Party Staffing Agencies"
        }
    }]
}