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Data Science New Grad Jobs in Connecticut (NOW HIRING)

W. R. Berkley Corporation

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

... data science, and business teams to enable modeling and AI uses. • Apply AI‑assisted ... new tools, and recommend adoption where appropriate. • Apply professional skepticism and ...

Amicis Global

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

Bachelor's degree in Computer Science, Data Science, Information Technology, or related field ... new model in Snowflake will look Putting together a new agile team of 5 to 6 people Red flag on ...

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

Job details Job Role Data Science Consultant 1 Career Role Analyst - Data Science Work Location ... new opportunities and achieve sustainable success. Join us to be part of a dynamic team that is ...

Fladger Associates

Scientist III

Ridgefield, CT · On-site

Data Analysis: Implement methods for omics data analysis, and interpretation of genomic data sets ... propose new avenues of investigation * Communicates own work effectively orally and in writing ...

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Data Science New Grad information

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

What are the key skills and qualifications needed to thrive as a data science new grad?

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.
What are popular job titles related to Data Science New Grad jobs in Connecticut? For Data Science New Grad jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Science New Grad jobs in Connecticut look for? The top searched job categories for Data Science New Grad jobs in Connecticut are:
What cities in Connecticut are hiring for Data Science New Grad jobs? Cities in Connecticut with the most Data Science New Grad job openings:
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Infographic showing various Data Science New Grad job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution.

Senior Manager Data Science and Advanced Analytics - Operations

Philip Morris International

Stamford, CT • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 18 days ago

Job description

Senior Manager Data Science and Advanced Analytics - Operations - Stamford, CT
At PMI U.S., we are building a modern nicotine business-focused on helping make a future without cigarettes a reality in America. As the U.S. businesses of Philip Morris International, we are investing in new products, science, and capabilities to provide the approximately 25 million legal age adults who still smoke with better alternatives.
Our approach is rooted in innovation, responsible marketing, and a growing U.S. footprint that spans manufacturing, technology, and commercial operations across the country.
That creates real opportunity. You'll have the space to take ownership, develop new ideas, and contribute to work that is shaping our business and the category. We're looking for people who are curious, collaborative, and motivated by progress-because the scale of what we're building creates room to grow in different directions.
Our beautiful HQ in Stamford, CT is just steps away from the Stamford Metro-North Train Station and easily accessible from NYC.
About the Role
Senior Manager, Insights & Analytics (Operations) - This leader drives data-driven strategy and execution for the Operations function in a consumer packaged goods (CPG) company. The role blends strategic insight with hands-on analytics to optimize performance across supply chain & manufacturing, order-to-cash, and demand planning & forecasting. In a player-coach capacity, the Senior Manager leads a small team (2 analysts) while personally delivering key analyses and recommendations to guide operational decision-making.
Your 'day to day':
  • Deliver actionable insights across supply chain, manufacturing, order-to-cash, and demand planning processes to improve operational efficiency and performance.
  • Develop and own the Operations analytics roadmap (metrics, dashboards, advanced analysis) to support data-driven decision-making and continuous improvement.
  • Ensure effective integration of data from ERP and Salesforce systems, collaborating with IT on data architecture and flow enhancements for a holistic view of Operations.
  • Collaborate with cross-functional teams (Operations, Supply Chain, Finance, IT) to identify opportunities and translate data findings into strategic recommendations.

Team Leadership Expectations:
  • Lead and mentor a small team of 2 analysts, fostering a high-performance, data-driven culture.
  • Act as a player-coach by balancing hands-on analytics execution with guiding the team's work to ensure quality and alignment with business goals.

Who we're looking for:
  • Significant experience in operations-focused analytics or business intelligence (supply chain, manufacturing, or customer operations) in a CPG or similar industry, with a track record of using data to drive process improvements and optimize performance.
  • Strong understanding of ERP systems (e.g., SAP or Oracle) and Salesforce CRM, including conceptual knowledge of data flows between these enterprise systems.
  • Ability to define and influence data architecture and integration requirements, partnering with IT to implement robust data solutions (not a hands-on engineering role).
  • Excellent analytical and problem-solving skills, including expertise in developing metrics/dashboards and communicating insights to non-technical stakeholders.

Key Skills:
  • Operations analytics (supply chain, manufacturing, order-to-cash, demand planning & forecasting)
  • Business insight generation and data storytelling for operational leaders
  • ERP, PLM & Salesforce systems knowledge, including conceptual data flow and integration patterns
  • Data architecture and integration influence (requirements definition, roadmap ownership)
  • KPI design, performance management, and continuous improvement analytics
  • Cross-functional stakeholder management and influence
  • Team leadership and coaching (player-coach model)
  • Structured problem-solving and root-cause analysis
  • Executive-ready communication and presentation skills
  • Operations analytics (supply chain, manufacturing, order-to-cash, demand planning & forecasting)
  • Business insight generation and data storytelling for operational leaders
  • ERP, PLM & Salesforce systems knowledge, including conceptual data flow and integration patterns
  • Data architecture and integration influence (requirements definition, roadmap ownership)
  • KPI design, performance management, and continuous improvement analytics
  • Cross-functional stakeholder management and influence
  • Team leadership and coaching (player-coach model)
  • Structured problem-solving and root-cause analysis
  • Executive-ready communication and presentation skills

Preferred Qualifications:
  • Advanced degree in business, analytics, or a related field (MBA or MS) and/or relevant certifications (e.g., Six Sigma).
  • Prior experience managing or mentoring an analytics team.
  • Familiarity with modern analytics and data visualization tools and techniques (e.g., business intelligence platforms, forecasting methods).

Annual Base Salary Range: $176,000 - $220,000
What we offer:
  • We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!
  • We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.
  • Seize the freedom to define your future and ours. We'll empower you to take risks, experiment and explore.
  • Be part of an inclusive, diverse culture where everyone's contribution is respected; Collaborate with some of the world's best people and feel like you belong.
  • Pursue your ambitions and develop your skills with a global business - our staggering size and scale provides endless opportunities to progress.
  • Take pride in delivering our promise to society: To improve the lives of millions of smokers.

PMI is an Equal Opportunity Employer.
PMI is headquartered in Stamford, Conn., and its U.S. affiliates have more than 3,000 employees.
PMI has been an entirely separate company from Altria and Philip Morris USA since 2008. PMI's affiliates first entered the U.S. market following the company's acquisition of Swedish Match in late 2022. Philip Morris International and its U.S. affiliates are working to deliver a smoke-free future. Since 2008, PMI has invested $12.5 billion globally to develop, scientifically substantiate and commercialize innovative smoke-free products for adults who would otherwise continue to smoke with the goal of transitioning legal-age consumers who smoke to better alternatives. In 2022, PMI acquired Swedish Match - a leader in oral nicotine delivery - creating a global smoke-free champion led by the IQOS and ZYN brands. The U.S. Food and Drug Administration has authorized versions of PMI's IQOS electronically heated tobacco devices and Swedish Match's General snus as Modified Risk Tobacco Products and renewal applications for these products are presently pending before the FDA. For more information, please visit www.pmi.com/us and www.pmiscience.com.
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