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Senior Python Data Science Jobs in Groton, CT (NOW HIRING)

Netsynk

Data Warehouse Analyst

New London, CT · On-site

Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related ... Python * Shell Scripting * Experience working in regulated industries such as: * Healthcare * ...

Eurofins

Senior Materials Scientist

Groton, CT · On-site

Strong data analysis and interpretation skills. * Experience and understanding of infrared spectroscopy (FTIR, NIR, FT-Raman) and/or SSNMR. * Experience with solving Materials Science problems ...

Integrated Resources INC

Bench Scientist

Groton, CT

$35 - $44/hr

The qualified candidate will support sample preparation, data collection, data analysis, record ... Mishra Sr. Clinical Recruiter Integrated Resources, Inc. IT Life Sciences Allied Healthcare CRO ...

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All JobsSenior Python Data Science JobsSenior Python Data Science Jobs in Groton, CT

Senior Python Data Science information

See Groton, CT salary details

$54.7K

$141.2K

$193.9K

How much do senior python data science jobs pay per year?

As of Jun 28, 2026, the average yearly pay for senior python data science in Groton, CT is $141,176.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,800.00 and $162,600.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Science vs Data Analyst?

AspectSenior Python Data ScienceData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentData science teams, R&D, product developmentBusiness units, reporting, operational analysis
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Senior Python Data Scientists focus on advanced analytics, machine learning, and building predictive models using Python, often working in R&D or product teams. Data Analysts primarily handle data reporting, visualization, and basic statistical analysis to support business decisions. While both roles require data handling skills, Senior Python Data Science roles demand deeper technical expertise and experience with complex algorithms.

What are popular job titles related to Senior Python Data Science jobs in Groton, CT? For Senior Python Data Science jobs in Groton, CT, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Science jobs in Groton, CT look for? The top searched job categories for Senior Python Data Science jobs in Groton, CT are:
What cities near Groton, CT are hiring for Senior Python Data Science jobs? Cities near Groton, CT with the most Senior Python Data Science job openings:
Senior Python Data Science jobs near you
Infographic showing various Senior Python Data Science job openings in Groton, CT as of June 2026, with employment types broken down into 1% Internship, 51% Full Time, 43% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $141,176 per year, or $67.9 per hour.

Data Warehouse Analyst

Netsynk

New London, CT • On-site

Other

Posted 4 days ago

Job description

Job Title: Data Warehouse Analyst
Location: Uncasville, CT
Work Mode: Hybrid
Experience Required: 2–10 Years
Employment Type: Full-Time / Contract

Role Overview

We are seeking a Data Warehouse Analyst to partner with business users and technical teams to design, develop, and support enterprise data warehouse and business intelligence solutions. This role is responsible for gathering requirements, building and maintaining ETL processes, developing reporting assets, and ensuring reliable, high-quality data is available for analytics and decision-making.

The ideal candidate will have experience with data warehousing, BI tools, SQL, and data analysis, along with strong communication and problem-solving skills.

Key Responsibilities
  • Collaborate with business stakeholders to gather reporting and analytics requirements and translate them into technical solutions.
  • Design, develop, and maintain data warehouse components, including:
    • ETL/ELT processes
    • Database structures
    • Data views and reporting assets
  • Monitor and validate data warehouse feeds to ensure data quality, integrity, and accuracy.
  • Create and maintain technical documentation, including:
    • Data dictionaries
    • Data catalogs
    • System architecture diagrams
  • Develop and support BI and reporting solutions using modern analytics platforms.
  • Design, build, and maintain reports, dashboards, and visualizations.
  • Provide Level III support for BI and decision support systems, troubleshooting issues and optimizing performance.
  • Partner with cross-functional teams to enhance existing reporting capabilities and develop new analytics solutions.
  • Prioritize and execute work requests based on business needs and project timelines.
  • Support mission-critical applications operating in a 24/7 enterprise environment.
  • Participate in on-call support rotations as needed.
  • Ensure compliance with data privacy, security, and regulatory requirements.
  • Contribute to continuous improvement initiatives across data and analytics platforms.
Required Qualifications
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or a related field.
  • 2–10 years of experience in data warehousing, reporting, business intelligence, or analytics.
  • Experience with one or more of the following:
    • Snowflake
    • Informatica
    • Power BI
    • Tableau
    • Cognos
  • Strong understanding of:
    • Data Warehousing Concepts
    • Data Modeling
    • ETL/ELT Processes
    • Relational Databases
  • Hands-on experience with SQL and data analysis techniques.
  • Strong analytical, troubleshooting, and problem-solving abilities.
  • Excellent communication skills with both technical and non-technical stakeholders.
  • Ability to work effectively in a collaborative team environment.
Preferred Qualifications
  • Experience with cloud-based data platforms and modern data architectures.
  • Familiarity with scripting languages such as:
    • Python
    • Shell Scripting
  • Experience working in regulated industries such as:
    • Healthcare
    • Gaming
    • Financial Services
  • Knowledge of data governance, data quality, and compliance frameworks.
  • Experience supporting enterprise reporting and analytics environments.
Required Skills
  • SQL
  • Data Warehousing
  • ETL/ELT
  • Data Modeling
  • Power BI / Tableau / Cognos
  • Snowflake
  • Informatica
  • Data Analysis
  • Reporting & Dashboards
  • Business Intelligence
  • Data Quality
  • Documentation

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