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Data Science Manager Remote Jobs in Connecticut (NOW HIRING)

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... Drive execution across multiple model products by prioritizing work, managing delivery plans ...

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

You will manage a high-performing team of data scientists and actuaries, collaborating with cross ... Candidates who do not live near an office may be considered for a remote work arrangement with ...

About the Role This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with ...

Data Science Tutor

Bridgeport, CT · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Norwalk, CT · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

New Haven, CT · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Stamford, CT · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Hartford, CT · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Sr. Tax Manager (REMOTE)

Hartford, CT · On-site +1

$134K - $167K/yr

... designed to help scientists, researchers, and clinicians solve the worlds greatest health ... Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ...

... data science needs. RESPONSIBILITIES * Design, develop, and test NGS pipelines for clinical tests ... management systems (especially Jira). * Using or developing genome browsers or other tools for ...

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Data Science Manager Remote information

What does a remote Data Science Manager do?

A remote Data Science Manager oversees a team of data scientists, analysts, and engineers, ensuring that data-driven projects are successfully executed from a remote location. Their responsibilities include managing project timelines, providing technical guidance, mentoring team members, and aligning data initiatives with business goals. They also coordinate with other departments to implement data solutions, ensure data quality, and communicate results to stakeholders. Working remotely, they use digital tools to collaborate, monitor progress, and maintain team productivity.

What are the key skills and qualifications needed to thrive as a Data Science Manager (Remote), and why are they important?

To thrive as a Data Science Manager in a remote setting, you need a robust background in statistics, programming (e.g., Python, R), machine learning, and a related degree, often supplemented by experience leading data teams. Familiarity with data analytics tools like SQL, cloud platforms (AWS, Azure), and project management software is typically required, along with certifications such as Certified Data Scientist or PMP. Strong leadership, communication, and collaboration skills are essential for managing distributed teams and aligning projects with business goals. These skills ensure effective project delivery, foster innovation, and maintain team cohesion in a virtual work environment.

How does a Data Science Manager working remotely typically collaborate with cross-functional teams?

As a remote Data Science Manager, effective collaboration with cross-functional teams—such as engineering, product, and business stakeholders—relies heavily on clear communication and efficient use of digital tools. Regular virtual meetings, project management platforms, and shared documentation are essential to align on objectives, share progress, and troubleshoot challenges. Building trust and fostering a culture of transparency helps ensure that remote data science teams stay connected and engaged with broader organizational goals, despite not sharing a physical workspace.

What is the difference between Data Science Manager Remote vs Data Analyst Remote?

AspectData Science Manager RemoteData Analyst Remote
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; experience with machine learning and leadershipBachelor's in Data Analysis, Statistics, or related field; proficiency in data visualization and SQL
Work EnvironmentLeads data science teams, manages projects, and develops models remotelyAnalyzes data, prepares reports, and supports decision-making remotely
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceMarketing agencies, retail, finance, and consulting firms

The main difference is that Data Science Managers oversee data science teams and projects, requiring leadership skills and advanced technical knowledge, while Data Analysts focus on analyzing data and generating reports. Both roles can be remote and are in high demand across various industries.

What are popular job titles related to Data Science Manager Remote jobs in Connecticut? For Data Science Manager Remote jobs in Connecticut, the most frequently searched job titles are:
What cities in Connecticut are hiring for Data Science Manager Remote jobs? Cities in Connecticut with the most Data Science Manager Remote job openings:
Data Science Director - Remote

Data Science Director - Remote

Cigna

Bloomfield, CT • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Cigna Healthcare rating

8.4

Company rating: 8.4 out of 10

Based on 234 frontline employees who took The Breakroom Quiz

27th of 882 rated healthcare providers


Job description

Help shape how healthcare risk decisions are made.

At The Cigna Group, pricing and underwriting decisions rely on data-driven insights that are accurate, explainable, and operationally reliable. As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build and evolve machine learning models influencing business growth, risk selection, forecasting accuracy, and underwriting effectiveness. This is an opportunity to combine technical excellence, strategic leadership, and business partnership to deliver meaningful outcomes across a complex healthcare environment.

Responsibilities

  • Lead the strategy, development, enhancement, and support of machine learning models that enable pricing, underwriting, risk scoring, presale, and renewal decision-making.

  • Establish and continuously improve model lifecycle practices, including development, validation, monitoring, documentation, governance, release management, and model refresh processes.

  • Provide technical leadership across machine learning, statistical modeling, feature engineering, model evaluation, calibration, explainability, and production-ready analytics.

  • Drive execution across multiple model products by prioritizing work, managing delivery plans, coordinating releases, and ensuring reliable production support.

  • Partner with pricing, underwriting, actuarial, sales, finance, technology, data engineering, and governance teams to embed model outputs into business processes and decision frameworks.

  • Translate complex analytical concepts into clear business insights, helping stakeholders understand model performance, limitations, opportunities, and risks.

  • Ensure compliance with model governance, audit, documentation, and monitoring requirements while maintaining high standards for quality and operational reliability.

  • Build and develop a high-performing data science organization through coaching, talent development, collaboration, accountability, and continuous improvement.

Required Qualifications

  • 10+ years of experience in data science, advanced analytics, statistical modeling, machine learning, actuarial analytics, or a related quantitative field.

  • 5+ years of experience leading and developing technical teams responsible for production-grade analytics or machine learning solutions.

  • Strong expertise in machine learning, statistical modeling, model monitoring, validation, and explainability techniques.

  • Hands-on experience with Python, SQL, Git, and modern analytics development practices.

  • Experience managing model lifecycle processes, including governance, documentation, monitoring, testing, and production support.

  • Demonstrated ability to influence senior business and technical stakeholders and translate complex analytical findings into actionable business decisions.

Preferred Qualifications

  • Experience with healthcare payer data, claims analytics, pricing, underwriting, risk adjustment, actuarial analytics, or other risk-focused domains.

  • Experience with Databricks, Spark, cloud-based analytics platforms, or large-scale data environments.

  • Advanced degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Actuarial Science, or a related quantitative discipline.


If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 178,500 - 297,500 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus and long term incentive plan.


At The Cigna Group, you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k), company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year, paid holidays, and leaves of absence. For more details on our employee benefits programs, click here.


About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

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 need a reasonable accommodation to complete the online application process, please email seeyourself@thecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.


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