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Data Science Manager Jobs in Ridgefield, CT (NOW HIRING)

Berkley Corporation has grown from a small investment management firm into one of the largest ... This role will challenge the status quo, apply modern data science and AI approaches, and translate ...

Experience deploying scalable models and maintaining model lifecycle management in production environments. Proven leadership skills to mentor teams and drive continuous improvement in data science ...

Lead data science projects in close collaboration with IT, Data Engineering, Application development, PMO and business leaders to deliver high-value business capabilities * Architect and build ...

Lead data science projects in close collaboration with IT, Data Engineering, Application development, PMO and business leaders to deliver high-value business capabilities * Architect and build ...

Lead data science projects in close collaboration with IT, Data Engineering, Application development, PMO and business leaders to deliver high-value business capabilities * Architect and build ...

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Data Science Manager information

See Ridgefield, CT salary details

$30.9K

$96.8K

$171.3K

How much do data science manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data science manager in Ridgefield, CT is $96,751.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $125,000.00 per year, depending on experience, location, and employer.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

Is 40 too late for data science?

Age is not a barrier to becoming a data science manager; many professionals transition into data science roles later in their careers. Success depends on relevant skills, experience, and continuous learning in areas like programming, statistics, and machine learning. Employers value diverse backgrounds and practical expertise regardless of age.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this principle to focus on the most impactful features, models, or data subsets to improve efficiency and outcomes in projects.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring project deliverables align with organizational objectives.

How much do data scientist managers make?

Data Science Managers typically earn between $110,000 and $160,000 annually, with salaries varying based on experience, location, and company size. They often oversee teams of data scientists, coordinate projects, and require strong skills in analytics tools and leadership. Senior roles or those in high-cost areas can offer higher compensation.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in Ridgefield, CT? The most popular types of Data Science jobs in Ridgefield, CT are:
What job categories do people searching Data Science Manager jobs in Ridgefield, CT look for? The top searched job categories for Data Science Manager jobs in Ridgefield, CT are:
What cities near Ridgefield, CT are hiring for Data Science Manager jobs? Cities near Ridgefield, CT with the most Data Science Manager job openings:
Process Development Engineer III, Data Science

Process Development Engineer III, Data Science

Regeneron Pharmaceuticals

Tarrytown, NY

$121K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Regeneron rating

8.7

Company rating: 8.7 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

12th of 74 rated pharmaceutical


Job description

Regeneron's Data Enablement and Analytics (DEA) team within Preclinical Manufacturing and Process Development (PMPD) is seeking a Machine Learning Engineer to develop, build and deploy analyses and machine learning models that support bioprocess development. This role is ideal for a data scientist with a strong foundation in chemical or biomedical engineering and a passion for building impactful solutions in close collaboration with scientists and process engineers.

You will work at the intersection of software engineering, data science, and bioprocess domain expertise-developing models that will be put into action within PMPD's laboratory and manufacturing operations. You will mentor and coordinate citizen data scientists. Your work will streamline workflows, enable automation, and accelerate decision-making across PMPD.

A Typical Day in the Role Might Look Like:
  • Partner closely with scientists, engineers, and analysts to understand bioprocess workflows and identify highimpact data science opportunities.

  • Acquire, clean, and structure complex datasets to enable scalable, repeatable analyses.

  • Design, develop, and apply advanced analytics and machine learning models to drive datainformed decisionmaking.

  • Deploy models into production environments, enabling automated and autonomous operations where appropriate.

  • Lead, mentor, and coordinate citizen data scientists on critical initiatives across PMPD

  • Enhance, maintain, and extend existing analytics tools and platforms to support new use cases and evolving business needs.

  • Contribute as an active member of Agile teams within a Scaled Agile Framework, supporting planning, delivery, and continuous improvement.

  • Continuously evaluate emerging technologies and methodologies to strengthen data science capabilities within the organization

What You Bring
  • Bachelor's or Master's degree in Chemical Engineering, Biomedical Engineering, or a related discipline. 5-7 years of experience in bioprocess development, pharmaceutical manufacturing, or a closely related domain.

  • Demonstrated ability to apply machine learning and predictive analytics to complex, realworld problems.

  • Strong programming skills in Python and SQL, with a solid understanding of data modeling and database design.

  • Experience working in Linux/Unix environments and using Git for version control and collaboration.

  • Excellent communication skills and a collaborative mindset, with the ability to partner effectively with scientists, engineers and analysts, while mentoring citizen data scientists.

  • Familiarity with DevOps and deployment technologies such as Kubernetes, NixOS, and Jenkins.

  • Experience with Operational Technology and analytics platforms (e.g., PI Historian, OPC, MQTT, Dataiku, Seeq) is a plus.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Where necessary, we disclose salary ranges for roles in all countries in which we operate. The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits. Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.


Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed onsite. Please speak with your recruiter and hiring manager for more information about onsite expectations for your role and location.


As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.


For jobs in Canada: this posting is for an existing position.


Salary Range (annually)

$109,900.00 - $179,300.00

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