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Data Science Director – Precision Trend R&D

Data ScientistData ScientistOtherRemoteLeadTeam 10,001+Since 1982H1B No SponsorCompany SiteLinkedIn

Location

Connecticut

Posted

76 days ago

Salary

$178.5K - $297.5K / year

Seniority

Lead

Postgraduate Degree10 yrs expEnglishPythonApache SparkSQLTableau

Job Description

Data Science Director – Precision Trend R&D

The Cigna Group

• Lead the design, development and deployment of advanced statistical and machine learning models to support reserving, trend analytics, and FP&A projections • Introduce novel modeling techniques and approaches to enable trend anomaly detection, leading indicator models, and predictive frameworks for claim lifecycle and utilization patterns • Maintain deep technical fluency in Data Science and Analytics technologies and best practices • Partner with Actuarial, Finance, Clinical, and Data & Analytics teams to co-create solutions that integrate seamlessly into actuarial workflows • Communicate findings and strategic insights effectively to technical audience and senior leadership across multiple domains, empowered by data visualization tools and technologies • Ensure models meet ASOP rigor and model lifecycle governance standards, including documentation, validation, back-testing, monitoring and audit readiness • Manage and mentor the Data Science Senior Advisor, fostering a culture of curiosity, innovation, and disciplined delivery

Job Requirements

  • 10+ years' of progressive experience in Data Science with a focus on Healthcare highly desirable
  • Expert proficiency in Python, R, SQL, Git
  • Experience with cloud-based ML development and big data platforms (Databricks, Spark)
  • Proven experience in applying statistical methods, machine learning and NLP models to complex datasets
  • Expertise in techniques such as regression, decision trees, boosting algorithms, neural networks, clustering, and anomaly detection
  • Familiarity with healthcare payer data and actuarial applications
  • Experience with dashboarding and visualization tools (Tableau, Power BI)
  • Excellent communication skills with the ability to present to senior and business leadership
  • Strong leadership and experience with mentoring and developing data science talent
  • Advanced degree in Data Science, Statistics, Computer Science, or related field, or equivalent experience is highly desirable

Benefits

  • Health insurance
  • Vision insurance
  • Dental insurance
  • Well-being and behavioral health programs
  • 401(k)
  • Company paid life insurance
  • Tuition reimbursement
  • Minimum of 18 days of paid time off per year
  • Paid holidays

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• Plan and perform care gap advanced analytics and segment HCPs and KOLs using real world data sources as input. • Support team Product Manager in strategic and tactical planning with regards to medical analyses. • Collaborate with team Product manager to communicate generated insights. • Prepare and maintain datasets for on-going analytical needs in collaboration with data engineers. • Flag data issues to data engineers and advise on required resolution. • Develop integrated care gaps analyses planning including data input required. • Plan, generate and perform asset-specific care gap analyses using advanced techniques such as predictive models, machine learning, probabilistic causal models, and unsupervised algorithms. • Create asset-specific HCP segments, maps, and prioritizations to guide channel mix/activation, content creation, and MSL activity in Anchor countries. • Highlight missing data inputs needed to conduct analytics (e.g., claims data for unmet need analysis). • Ensure visualization / insights generation from data is easily accessible and understandable for users.

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ROLE SUMMARY Plan and perform care gap advanced analytics and segment HCPs and KOLs using real world data sources as input. ROLE RESPONSIBILITIES Strategic support and communications - Support Care Gaps & Segmentation Team Leader in strategic and tactical planning with regards to medical analyses. - Collaborate with Care Gaps & Segmentation Team Leader to communicate generated insights - Provide mentorship & coaching to Data Scientists & Data Engineering. - Leverage cross-team collaboration and asset-specific experience to develop and disseminate analytical best-practices in conducing care gap analyses and HCP segmentation. - Proactively identify future opportunities, such as data inputs, innovative analytical tools, and capability-building initiatives to enhance the impact and adoption of care gap and segmentation solutions. Planning and conducting medical analyses - Prepare and maintain datasets for on-going high-complexity analytical needs, in collaboration with data engineers, including flagging data issues & advising on required solutions. - Own the end-to-end process of integrated care gaps analyses, including strategic planning, identifying data input required (e.g., claims data for unmet need analysis), and effective visualization / insight generation for users. - Plan, generate and perform asset-specific care gap analyses to guide Medical Affairs activities using advanced techniques such as predictive models, machine learning, probabilistic causal models, and unsupervised algorithms. - Create asset-specific HCP segments, maps, and prioritizations, across multiple dimensions including care gaps, to guide channel mix/activation, content creation, and MSL activity in Anchor countries. 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ROLE SUMMARY Plan and perform care gap advanced analytics and segment HCPs and KOLs using real world data sources as input ROLE RESPONSIBILITIES Strategic support and communications - Support team Product Manager in strategic and tactical planning with regards to medical analyses - Collaborate with team Product manager to communicate generated insights Planning and conducting medical analyses - Prepare and maintain datasets for on-going analytical needs in collaboration with data engineers - Flag data issues to data engineers and advice on required resolution - Develop integrated care gaps analyses planning including data input required - Plan, generate and perform asset-specific care gap analyses to guide Medical Affairs activities using advanced techniques such as predictive models, machine learning, probabilistic causal models, and unsupervised algorithms - Create asset-specific HCP segments, maps, and prioritizations, across multiple dimensions including care gaps, to guide channel mix/activation, content creation, and MSL activity in Anchor countries - Highlight missing data inputs needed to conduct analytics (e.g., claims data for unmet need analysis) - Ensure visualization / insights generation from data is easily accessible and understandable for users BASIC QUALFICATIONS - Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. - Degree in Data Sciences, or Computer Sciences, Statistics, Clinical Informatics or similar, with advanced qualification in Data Science - Relevant certification &/or work experience in data engineering - Experience (6+ years with Bachelors; 5+ with Masters; 1+ with PHD) in data sciences, notably in the healthcare sector. - Demonstrated effectiveness working in cross-functional business environment. - Proven influencing skills - Strong interpersonal skills to quickly build rapport and credibility with Pfizer leaders and key external stakeholders. - Ability to partner cross culturally/regionally. - Effective English verbal and written communication with flexibility to be clear, consistent, compliant, and appropriate for a variety of settings including scientific/technical, promotional, patient/consumer, regulatory, and media. - In depth understanding of the business of pharmaceutical medicine including clinical trial design, GCP and data interpretation, drug development, regulatory and promotional rules/guidance, legal and compliance, issue management and business development opportunity evaluations. Technical: - Anticipates Customer and Market Needs – Knows the industry; knowledgeable in current and possible future trends, knows the competition; is aware of how strategies and tactics work in the marketplace. Is dedicated to meeting the expectations and requirements of internal and external customer's; always focused on patient safety first, establishes and maintains effective relationships with customers and gains their trust and respect. - Acts Decisively – Makes timely and effective decisions by applying business and financial acumen. Acts with urgency and removes barriers that hinder productivity. Can be counted on to exceed goals successfully; is very bottom-line oriented; steadfastly pushes self and others for results. - Builds Change-Agile Organizations – Develops teams that are facile at initiating and responding to change. 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