Company Description AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas immunology, oncology, neuroscience, and eye care and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube and LinkedIn. Job Description The Marketing Analytics and Business Insights (MABI) function supports AbbVies US organization and is comprised of highly respected researchers, analysts, data scientists and strategists who are committed to being best-in-class within the biopharmaceutical industry. We serve as strategic in-house counsel, ensuring that all decisions leverage the key insights that we develop. We continue to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. We are a passionate, diverse, flexible, and inclusive organization with a culture that supports the best ideas, wherever they originate. We are smart, fun, quirky, and innovative and wed love for you to join us. This role is part of an Analytics Center of Excellence housed within the MABI function that aims to differentiate AbbVie as a leader in omni-channel customer experiences and to build lasting relationships with consumers through omni-channel experiences powered by data and analytics. The individual in this role will be a key contributor to the team responsible for omni-channel analytics supporting the growing roadmap of consumer capabilities. This individual is skilled in designing and conducting analytics to optimize an integrated customer experience across channels. Core Job Responsibilities: + Develop and implement methods for extracting patterns and correlations from both internal and external data sources using machine learning toolkits. + Construct and develop predictive models that are reliable, scalable, and modular. + Maintain and optimize existing machine learning models. + Develop plan to put machine learning models into production. + Adopt new tools/techniques to increase performance, automation, and scalability. + Report, visualize and communicate results to internal stakeholders on a regular basis. + Work with stakeholders to define business questions, requirements, timelines, objectives, and success criteria. + Examine relevant data and quickly develop an analytics plan that will answer key business questions and create value for clients. + Work with data sets of varying degrees of size and complexity, including both structured and unstructured data. + Transform data into actionable insights and recommendations. Present clear and concise results. This includes processing, cleansing, and verifying the integrity of data used for analysis. + Develop analytical solutions by using and applying appropriate methodology including, but not limited to, regression, forecasting, clustering, decision trees, simulation, optimization, machine learning, and neural networks. + Design and define approach to scale and operationalize models for machine learning. + An experience in measurement solutions like lift measurement, Multi-Touch Attribution etc. We primarily recruiting for candidates in Chicago IL, Irvine CA or Florham Park NJ. Relocation is needed for candidates not currently residing in noted cities (IL, CA, NJ). Qualifications Qualifications + Masters degree required in quantitative fields such as Statistics, Engineering, Operations Research, Computer Science or Economics. + 7+ years progressive business experience in marketing analytics, database marketing, data engineering and predictive modeling or strong academic background. + Ability to develop advanced machine learning models using scikit-learn, Keras, or other machine learning frameworks. + Strong algorithmic design skills. Execute analytical experiments methodically while outputting reproducible research. + Demonstrated proficiency in Python, R, SQL, Relational databases (Teradata, Oracle etc.), BI tools (Power BI, Qlik Sense) and IDEs like Jupyter, with experience in leveraging available packages and libraries to accelerate time to market. + Experience with big data technologies like Hive, Impala, Hue etc. + Experience in Pharmaceutical datasets like patient claims and syndicated data from IQVIA (IMS) and Symphony Health Solutions a big plus. + Strong problem solving and interpersonal skills and ability to work as part of a diverse team including IT and Line of business analytics teams. + Bring a strong entrepreneurial spirit and ability to think dynamically. + Strong communication skills, written and verbal. + Project management experience; solid attention to detail and operational focus. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ? + The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.? + We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.? + This job is eligible to participate in our short-term incentive programs. ? + This job is eligible to participate in our long-term incentive programs. ? Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Companys sole and absolute discretion, consistent with applicable law. AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community and embracing diversity and inclusion. It is AbbVies policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status.

Why We Work at Dun & Bradstreet Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,500+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers. We are seeking a Principal Data Scientist to join an accomplished team. May telecommute three (3) days per week from within Florham Park, NJ area. Responsibilities: <ul><ul><li>Apply machine learning unsupervised and supervised methods, natural language processing methods to develop custom models, new analytical solutions and capabilities. </li><li>Create new solutions leveraging deep machine learning and AI experience while working both with structured and unstructured data. </li><li>Analyze internal raw and structured data, investigate alternate data sources by discovering patterns utilizing data engineering, data mining and visualization components to support business needs. </li><li>Create libraries, packages, new analytical solution and models while working with internal teams on implementation of capabilities within analytical platforms. </li><li>Research complex business issues and recommend solutions, including model inputs, model design frameworks, and end products that drive innovation for the company. </li></ul></ul> Requirements: <ul><ul><li>Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field (foreign degree equivalent acceptable) and five (5) years of experience in the job offered or an advanced statistical and data analytics role.</li><li>Prior experience must include (5) years in/with: Data analysis and data mining using univariate distribution, bivariate analysis, and descriptive statistics; development and delivery of analytical products and solutions; supervised machine learning methods and natural language processing; statistical concepts and probability theories; neural network, boosting methods and hyper parameter tuning; programming and data modeling using Python and PySpark; working with large datasets and risk models using SQL; developing and implementing machine learning models in a Spark environment. </li><li>Prior experience must include three (3) years in/with: Model validation and computing model performance statistics including ROC, KS and Gini coefficient; working with cross-functional stakeholders using agile methodologies. </li> #LI-DNI #IND-DNS</ul>></ul> Benefits We Offer •Generous paid time off in your first year, increasing with tenure. •Up to 16 weeks 100% paid parental leave after one year of employment. •Paid sick time to care for yourself or family members. •Education assistance and extensive training resources. •Do Good Program: Paid volunteer days & donation matching. •Competitive 401k & Employee Stock Purchase Plan with company matching. •Health & wellness benefits, including discounted Gympass membership rates. •Medical, dental & vision insurance for you, spouse/partner & dependents. •Learn more about our benefits: http://bit.ly/41Yyc3d. All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform. Equal Employment Opportunity (EEO): Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. View the EEO is the Law poster here. View the pay transparency policy here. Dun & Bradstreet is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Dun & Bradstreet and need special assistance or an accommodation to use our website or to apply for a position, please send an e-mail with your request to AcquisitionT@dnb.com. Determination on requests for reasonable accommodation are made on a case-by-case basis.

Why We Work at Dun & Bradstreet Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,500+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more at dnb.com/careers. As a Data Scientist, you are expected to have the following qualifications and to fulfill the needs of the role listed below; Responsibilities <ul><ul><li>Convert internal and clients' business cases into a machine learning framework.</li><li>Find the right technique, run full ML development cycle.</li><li>Clearly explain and defend results of your work to technical audiences and in laymen's terms. </li><li>Independently identify business needs, generate ideas on how to address them.</li><li>Efficiently balance independent work with team collaboration.</li><li>Be able to run several projects in parallel.</li><li>Be proficient in managing your time to meet deadlines.</li><li>Be ready to do what it takes to deliver.</li><li>Work jointly with cross-functional business units.</li><li>Stay abreast of academic research and industry best practices.</li><li>Share your knowledge across the team. Learn from others.</li></ul></ul> Qualifications <ul><ul><li>Advanced degree in physics, math, computer science or similarly quantitative field.</li><li>Full proficiency of ML development cycle: data gathering and transformation experimenting, training, tuning and testing productionalization, deployment and inference monitoring and retraining.</li><li>Experience operating successfully in data science roles, especially as a member of cross-functional teams.</li><li>Experience with solving broad range of analytic problems utilizing supervised/unsupervised learning, NLP, graphs, unstructured data analysis.</li><li>Intellectual honesty and common sense.</li><li>Comfort with ambiguity and pressure of fast paced environment.</li><li>Strong data engineering skills to independently overcome common bottlenecks and friction points.</li></ul></ul> Benefits We Offer •Generous paid time off in your first year, increasing with tenure. •Up to 16 weeks 100% paid parental leave after one year of employment. •Paid sick time to care for yourself or family members. •Education assistance and extensive training resources. •Do Good Program: Paid volunteer days & donation matching. •Competitive 401k & Employee Stock Purchase Plan with company matching. •Health & wellness benefits, including discounted Gympass membership rates. •Medical, dental & vision insurance for you, spouse/partner & dependents. •Learn more about our benefits: http://bit.ly/41Yyc3d. All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform. Equal Employment Opportunity (EEO): Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. View the EEO is the Law poster here. View the pay transparency policy here. Dun & Bradstreet is committed to Equal Employment Opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Dun & Bradstreet and need special assistance or an accommodation to use our website or to apply for a position, please send an e-mail with your request to AcquisitionT@dnb.com. Determination on requests for reasonable accommodation are made on a case-by-case basis.

Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us!As a Data Scientist in the S&MS Global Data Science Innovation team, you will develop supervised and unsupervised Artificial Intelligence (AI)/ Machine Learning (ML) models.The Data Scientist will use their analytic and modeling skills to build models and solutions in collaboration with cross-functional teams and analytic vendors. The Data Scientist will communicate regularly with Sales and Marketing, Third Party Risk and Compliance lines of business. Responsibilities:<ul><li>Develop novel solutions to market-driven problems using your knowledge of the latest AI/ML/NLP techniques, rigorous statistical analysis, and practical experience on previous data science projects.</li><li>Maintain existing analytic products and support Sales and Implementation teams in their use</li><li>Serve as a Subject Matter Expert on data, analytics and AI models within the Sales and Marketing, Supply Chain Management, Compliance, Risk and other lines of business consulting with business and product groups, on modeling and analytic solutions.</li><li>Help build new data science capabilities.</li><li>Guide and mentor junior analysts.</li><li>Enjoy and share academic literature, technical developments, and industry best practices. Identify business relevance of new methods and work with cross functional teams to create prototypes, assist in creating business cases.</li><li>Collaborate with internal and external stakeholders (external customers, other D&B data scientists, sales team members, business unit product leaders and development teams) to understand business needs and technical requirements through direct, external consultative customer engagements as well as proof-of-concept implementations for products.</li><li>Participate and support other teams, as needed, for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting.</li><li>Derive actionable insights from unconventional big data, using a variety of analytic techniques to identify impact on use cases and assess incremental value (in terms of lift in predictive power).</li><li>Research complex business issues and recommend solutions, including customer data input requirements, other required data sets, and best modeling approaches.</li></ul>Required Qualifications:<ul><li>Master's degree in a quantitative / applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics). </li><li>Experience with programming and modeling using Python, PySpark, Scala.</li><li>Experience collaborating, including the ability to build and maintain relationships with internal and external stakeholders/clients, and being disciplined in delivery of initiatives.</li><li>Proficient SQL skills and experience working with large data sets (big data, IoT data).</li><li>Experience applying current machine learning techniques</li><li>Knowledge of evolving data science concepts and best practices</li><li>Experience communicating complex ideas to both a technical and non-technical audience.</li></ul>Preferred Skills:<ul><li>Creative and inquisitive in nature.</li><li>Thrives on change</li><li>Flexibility to master and apply new analytic tools.</li></ul>Benefits We Offer Generous paid time off in your first year, increasing with tenure. Up to 16 weeks 100% paid parental leave after one year of employment. Paid sick time to care for yourself or family members. Education assistance and extensive training resources. Do Good Program: Paid volunteer days & donation matching. Competitive 401k & Employee Stock Purchase Plan with company matching. Health & wellness benefits, including discounted Gympass membership rates. Medical, dental & vision insurance for you, spouse/partner & dependents. Learn more about our benefits: http://bit.ly/41Yyc3d.All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.<ul><li>Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.</li></ul>

Data Scientist Jobs in Florham Park, NJ

Principal Marketing Analytics Data Scientist
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Data Scientist Jobs in Florham Park, NJ

Principal Marketing Analytics Data ScientistApril 17, 2024

Principal Data ScientistApril 8, 2024

Data Scientist R15559April 4, 2024

Principal Marketing Analytics Data ScientistApril 4, 2024

Principal Data ScientistApril 3, 2024

Principal Data ScientistApril 2, 2024

Data Scientist R15991April 2, 2024

Data Scientist R15991March 24, 2024

Data ScientistMarch 23, 2024