Senior Data Scientist

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Excited to grow your career? We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply! Our people make all the difference in our success. Do you have a passion for machine learning / artificial intelligence? Are you excited about using your skills to help individuals improve their health? Cignas Global Data & Analytics (GD & A), organized as a newly formed Center of Expertise (CoE), applies advanced Data Science (DS), Machine Learning (ML) and Artificial Intelligence (AI) to turn predictive insights into meaningful actions and to produce solutions that reduce customer health costs and improve outcomes and business processes to drive profitable growth, ultimately enable the enterprise vision of Affordability, Simplicity and Predictability. Using state of the art DS platforms, ML libraries, AI tools and optimization tools, we leverage internal, external, and online and offline data sources comprising Marketing Prospecting, customer, digital, clinical, provider & Rx data, and behavioral/attitudinal data. We are looking to hire Data Science practitioners who are well-versed in predictive modeling and optimization, who see a broader picture of AI and not just ML in Data Science, who can communicate with others with a statistical mindset, and can conduct exploratory analysis during data preparation and beyond. Job Location: NYC, NY, Bloomfield, CT or work from home. Eastern time zone preferred Role Summary: Using your knowledge of ML / AI you will be responsible to build technologies and predictive models for supporting Cignas marketing targeting optimization and customer contact strategies for prospect acquisition and retention, primarily for Government Business Segment products including Medicare Advantage, CSB and IFP. You will provide support to the GD & A vertical and GBS Marketing stakeholders to achieve enterprise goals and will be responsible for gathering and developing / executing (coding) on business requirements. Your work will require deep acquaintance with Cignas data and various external data, seeking to find ways to deliver value through advanced feature engineering and rigorous methodologies. From your models you will deliver actionable insights and solutions that can be incorporated into Cigna existing GBS Marketing products. You will be supporting all new and existing GD & A-owned models in support of the visions and strategies established by the Data Science Manager and Solution Director. The ideal candidate for this role will have strong coding skills (preferably in Python), a passion for creating technology to improve health care, with an attitude of creativity and continual learning, be highly motivated, flexible and embrace change. The ideal candidate for this role will have: - Strong coding skills (preferably in Python) - Passion for creating technology to improve health care, with an attitude of creativity and continual learning, be highly motivated, flexible and embrace change. - Previous working experience of consumer prospecting data, including Acxiom and Infogroup / Data Axle. - Hands-on experience of predictive analytics and ML model development for marketing prospect and retention, attribution modeling for campaign effectiveness and product optimization. Responsibilities: - Understand the business problem in Marketing and Customer domain, as well as GBS products, translate to sound analytical design and data science framework, in order to create value for the business, customers, clients, and identify critical questions and actionable insights that can be answered with DS or AI / ML. - Provides expert content/professional leadership on complex Data Science assignments/projects. Develops analytical and statistical models and methodologies to predict, classify, quantify, and/or forecast business metrics that help stakeholders make sound business decisions. - Responsible for the extraction and analysis of health care related information regarding customer and marketing. Conduct data cleaning, feature engineering, and transformation into a more useful form. Scrub, clean, prepare, and browse the data, fill in missing data values, determine outliers, regularize and normalize the data (e.g., names), engineer features. - Explore and visualize the data using tools such as Python modules including pandas, matplotlib, bokeh, and Seaborn, Tableau, and Looker. - Develop, evaluate and document the models. Deliver clean, reusable, and scalable code. - Assures quality and integrity of data collected, analysis performed, and reports generated. - Write, present, generate plausible explanations and make recommendations to stakeholders and facilitate decision-making. - Work with Data Engineering and business operations to deploy models, build data pipelines, and scalable systems. - Develops methods for improving internal techniques and processes. Exercises considerable creativity, foresight, and judgment in conceiving, planning, and delivering initiatives. Uses deep professional knowledge and acumen to advise functional leaders. Provide thought leadership on latest analytic techniques, technologies and methods, within Data Science and on broader projects, which require understanding of wider business. To be recognized internally as a subject matter expert Qualifications - BS/MS/PhD in Computer Science, Math, Statistics, or in any technical field that provides a solid basis for analytics or equivalent work experience - Previous working experience of consumer prospecting data strongly preferred, including Acxiom and Infogroup / Data Axle. - Predictive analytics and ML model development for marketing prospect and retention, attribution modeling for campaign effectiveness. Prior experience in healthcare industry and Government products are highly desired - Excellent communication and presentation skills and business consultation experience required - Excellent understanding/experience with leading machine learning methods including Supervised and Unsupervised Learning, such as KNN, Nave Bayes, linear and non-linear regression, Logistic Regression, SVM, Lasso Regression, Elastic Net Regression, Boosting and Bagging, Random Forest, XGBoost, Association Rules, Cross Validation Method, forecasting, neural networks, deep learning, optimization. - 5 - 7 years experience with Python and its data science libraries such as Scikit-learn, Pandas, Keras, NLTK, Numpy and Seaborn through Jupyter or iPython notebooks. Experience with optimization and DS platforms such as Domino, Datarobot - Experience with Hive and database access languages such as SQL and storage platforms such as S3. - Experience with distributed computing platforms such as Hadoop, Spark, MapReduce, and Yarn, is a plus. About Cigna Cigna 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. When you work with Cigna, youll enjoy meaningful career experiences that enrich peoples lives while working together to make the world a healthier place. What difference will you make? To see our culture in action, search #TeamCigna on Instagram. Qualified 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. If you require reasonable accommodation in completing the online application process, please email: for support. Do not email for an update on your application or to provide your resume as you will not receive a response.
  • 1
  • Negotiable
  • None
  • None
  • Re-42550
  • Permanent
  • 4

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