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Data Science Leader Jobs in Connecticut (NOW HIRING)

We are driven to develop industry leading process innovations and manufacturing techniques on behalf of our customers. About the Opportunity: The lead data scientist will build data, analytics, and ...

Lead Data Scientist

Manchester, CT · On-site

$144K - $198K/yr

We are driven to develop industry leading process innovations and manufacturing techniques on behalf of our customers. About the Opportunity: The lead data scientist will build data, analytics, and ...

This role offers the chance to work on innovative analytics products and collaborate with industry leaders, making a significant impact in healthcare. Responsibilities - Apply advanced data science ...

Data Scientist

Danbury, CT · On-site

$119K - $132K/yr

Support and administer enterprise systems andtechnical platforms while leading technical ... Must have a Master's degree or foreign equivalent in Computer Science,or a related field

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

... Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has ...

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

... Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has ...

Data Scientist

Danbury, CT · On-site

$119 - $132/hr

Support and administer enterprise systems andtechnical platforms while leading technical ... Must have a Master's degree or foreign equivalent in Computer Science,or a related field

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Showing results 41-60

Data Science Leader information

What is a data science leader?

A Data Science Leader is responsible for guiding teams in leveraging data to drive business decisions and innovation. They oversee data strategy, mentor data scientists, collaborate with stakeholders, and ensure that data-driven solutions align with company goals. Their role blends technical expertise with leadership, requiring strong skills in analytics, machine learning, and communication.

What are some common challenges faced by data science leaders, and how can they navigate them?

Data Science Leaders often face challenges such as aligning team efforts with business goals, managing diverse technical skill sets, and ensuring project stakeholders understand complex analytical insights. Balancing hands-on technical work with leadership responsibilities requires strong organizational and time management skills. Additionally, staying current with rapidly evolving tools and methodologies is essential for maintaining a team's competitive edge. Leveraging open communication, encouraging ongoing professional development, and building strong cross-functional relationships can help leaders successfully navigate these challenges.

What are the key skills and qualifications needed to thrive as a data science leader, and why are they important?

To thrive as a Data Science Leader, you need deep expertise in statistical modeling, machine learning, and data analytics, usually supported by advanced degrees in data science or related fields. Familiarity with programming languages like Python or R, experience with big data tools (e.g., Spark, Hadoop), and certifications such as Certified Analytics Professional (CAP) are commonly expected. Exceptional communication, strategic thinking, and team leadership skills set outstanding candidates apart. These competencies are critical for driving impactful data solutions, fostering innovation, and effectively guiding teams to deliver on business objectives.

What does a data science leader do?

A data science leader oversees data science teams, develops strategies for data analysis, and ensures the effective use of data to support business goals. They often coordinate projects, communicate insights to stakeholders, and have expertise in statistical methods, machine learning, and data management tools. Strong leadership, communication skills, and a solid understanding of data science techniques are essential for this role.

What jobs does data science leader lead to?

A data science leader typically advances to senior roles such as Director of Data Science, Chief Data Officer, or Vice President of Data. These positions involve overseeing data strategy, managing teams, and aligning data initiatives with business goals, often requiring strong leadership, technical expertise, and experience with analytics tools and programming languages like Python or R.

What are popular job titles related to Data Science Leader jobs in Connecticut?

For Data Science Leader jobs in Connecticut, the most frequently searched job titles are:

Infographic showing various Data Science Leader job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Lead Data Scientist

Pursuit Aerospace

Manchester, CT • On-site

Other

Medical, Retirement, PTO

Re-posted 26 days ago


Pursuit Aerospace rating

7.8

Company rating: 7.8 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

212th of 494 rated machine equipment manufacturers


Job description

About Us:

As a global manufacturer of complex aircraft engine components, Pursuit Aerospace is founded on a commitment to relentless, continuous, operational improvement and extraordinary customer service. We pride ourselves on competitive cost structure, exceptional on-time delivery, and industry-leading quality.

Pursuit cultivates long-term relationships with our customers around the world through respect, teamwork, technology, and trust. We are driven to develop industry leading process innovations and manufacturing techniques on behalf of our customers.

About the Opportunity:

The lead data scientist will build data, analytics, and AI solutions to support SIOP (Sales, Inventory, Operations Planning) transformation and delivery business impact on inventory and customer service. The lead data scientist will function like a forward-deployed engineer who takes a supply chain problem from ambiguity to financial impact: framing the problem, shaping the data and models, building and iterating fast, and owning the solution end to end. This role will work shoulder-to-shoulder with the business, move at its pace, and turn large, messy operational data into robust models, dashboards, and AI-powered tools that change decisions and outcomes.

Location:

Remote in the U.S., and travel 10-20%.

Responsibilities:

  • Deliver high-impact analytics: partner with cross-functional leaders to scope the problems and ship solutions that move real metrics: inventory, on-time delivery, and cost.
  • Build end-to-end products: build products independently and iterate quickly based on business feedback including data pipeline and snowflake tables, forecasting and time-series models, inventory and clear-to-build analytics, dashboards, and AI-powered tools.
  • Run analytics assets in production: keep all assets accurate and reliable and manage analytics operations leveraging technology
  • Engineer trustworthy data: turn large, messy operational data into well-structured, trusted datasets, and develop continuous improvement framework to enhance data quality and integrity
  • Drive decisions and adoption: translate analytical results and tools into clear, decision-ready recommendations and drive adoption across the business

Required Qualifications:

  • Bachelor's degree required
  • 2+ years in a data science role demonstrating solving complex business problems and independently building robust solutions that improve outcomes
  • 2+ years in SQL, Python, Machine learning modeling, and time-series analytics
  • Must be authorized to work in the U.S. on a full-time basis without sponsorship now or in the future. The Company cannot offer employment to visa holders who require employer sponsorship in the future or cannot work now on a full-time basis.
  • Must be able to perform work subject to ITAR/EAR regulations.

Preferred Qualifications:

  • Bachelor's degree in data science or related field preferred
  • Master's degree preferred
  • Proficient in SQL, Python, ML modeling, and time-series analytics; hands-on AI-assisted coding against Snowflake tables, pipeline orchestration, GitHub for CI/CD, Azure data platform
  • Effective AI-assisted product development and proficient in using AI to plan, build, and quality-check code, and can critically evaluate, debug, and improve what it generates
  • Supply chain analytics knowledge such as demand forecasting, demand sensing, inventory management and clear-to-build reporting
  • Aerospace and/or manufacturing experience
  • Familiarity with ERP systems and hands-on experience with purchase order, production order, and inventory data

Working Conditions:

  • Requires mobility in a manufacturing plant environment while using Personal Protective Equipment.
  • Must be able to frequently sit, stand and walk.
  • Must be able to lift and carry up to 15 pounds.
  • Must be able to have prolonged periods sitting at a desk and working on a computer.
  • Must be able to travel between locations or to suppliers up to 25% of time.

Acknowledgements:

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.

Benefits:

Pursuit Aerospace also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements, among other things.

Equal Opportunity Employer:

Pursuit Aerospace is an Equal Opportunity Employer. We adhere to all applicable federal, state, and local laws governing nondiscrimination in employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.




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