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Data Science Assistant Jobs in Connecticut (NOW HIRING)

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Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

What are the key skills and qualifications needed to thrive as a Data Science Assistant, and why are they important?

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
What are the most commonly searched types of Data Science jobs in Connecticut? The most popular types of Data Science jobs in Connecticut are:
What are popular job titles related to Data Science Assistant jobs in Connecticut? For Data Science Assistant jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Science Assistant jobs in Connecticut look for? The top searched job categories for Data Science Assistant jobs in Connecticut are:
What cities in Connecticut are hiring for Data Science Assistant jobs? Cities in Connecticut with the most Data Science Assistant job openings:
Infographic showing various Data Science Assistant job openings in Connecticut as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution.

Principal - Data Science & Architecture

Iberdrola

Orange, CT

Other

Medical, Dental, Vision, Retirement

Posted 13 days ago


Job description

Job Title: Principal Data & Science Architecture

Location: Orange, CT; Rochester, NY, Binghamton, NY; Augusta, ME.

Number of Positions: 1

Work type: Office

The salary range for this position is dependent upon experience and location, ranging from:

  • CT: $148,160 - $185,200

  • NY / ME: $134,720 - $168,400

What We Offer:

  • Competitive benefits and growth opportunities

  • Generous performancebased bonuses

  • 12% 401(k) match

  • Comprehensive health, dental, and vision insurance

  • Tuition reimbursement

  • Professional development and clear careeradvancement pathways

For more information, please visit: Benefits - Avangrid

Job Summary

The Principal Data Scientist and Architect in the Data Science and Analytics group will execute enterprise-wide initiatives to drive performance improvements, data-driven decision-making, and customer-centric transformation across the Avangrid's Networks utility operating companies. This team member will focus on utilizing data science and analytic models and methodologies to derive insights from customer service and digital data. They will also lead the development of AI models and the development of underlying datasets to facilitate GenAI initiatives.

Responsibilities:

  • Lead the design and development of advanced ML/AI solutions (GenAI, LLMs, NLP, classical ML, causal inference) that directly support Avangrid Networks' customer experience priorities: CSAT improvement, payment and collections, and contact deflection.

  • Architect end-to-end ML systems on modern cloud platforms (Azure, Databricks), including feature stores, model registries, deployment pipelines, monitoring, and retraining workflows - establishing reference patterns for the broader Data Science & Analytics organization.

  • Lead GenAI and agentic AI initiatives for both customer-facing (self-service) and agent-assist applications, including RAG architectures, retrieval pipelines, evaluation frameworks, and responsible AI guardrails for the flagship Iberdrola initiatives.

  • Partner closely with Data Engineering to define data product requirements, drive customer-oriented data infrastructure build-out, and ensure analytics-ready datasets across SAP, CC&B, AMI, contact center, and digital platforms.

  • Collaborate closely with technical leads in Customer Service, Elec/Gas Operations, Digital Platforms, Regulatory, and IT to translate business needs into AI/ML solutions and embed them into production workflows.

  • Serve as the data domain expert ("Lead SME") for customer, billing, contact, and consumption datasets-including data lineage, quality, and appropriate analytical use.

  • Serve as technical lead and mentor for junior data scientists and analysts; review modeling approaches, code, and methodology; raise the technical bar across the team.

  • Support regulatory filings, audits, rate cases, and PSC/DPU inquiries by delivering accurate, defensible, data-driven analysis and written narratives.

  • Champion responsible AI practices, including model documentation, bias assessment, privacy compliance, and alignment with Avangrid's AI governance and Global AI Inventory standards.

Required Qualifications:

  • Minimum of 10 years of experience in data science, data analytics, or mathematical modeling. Experience performing data science or mathematical modeling research as part of graduate work (MS and PhD) can count towards experience minimum.

Technical & Functional Skills:

  • Demonstrated experience in the development or facilitation of AI models.

  • Technical experience with specific data intelligence tools including relational databases (SQL), automated pipelines and processes (Python), integrated dashboards and applications (PowerBI, Streamlit).

  • Advanced technical expertise with data science modeling techniques and approaches.

  • Understanding of customer journey mapping, operational KPIs, and performance frameworks (e.g., Balanced Scorecard).

  • Knowledge of regulatory and operational environments in energy/utilities and experience supporting rate case submissions and leading hearing discussions.

  • Ability to manage multiple priorities in a complex, matrixed organization.

  • Willingness to travel approximately 10% of the time across Avangrid locations.

Preferred Qualifications:

  • Minimum of 3 years of experience in a regulated utility preferred.

  • Experience with Generative AI and Large Language Models (LLMs)

#LI-NB1
#LI-office

Company:

AVANGRID SERVICE COMPANY

Mobility Information

Please note that any applicant who is not a citizen of the country of the vacancy will be subject to compliance with the applicable immigration requirements to legally work in that country.

At Avangrid we provide fair and equal employment and advancement opportunities for all employees and candidates regardless of race, color, religion, national origin, gender, sexual orientation, age, marital status, disability, protected veteran status or any other status protected by federal, state, or local law.
If you are an individual with a disability or a disabled veteran who is unable to use our online tool to search for or to apply for jobs, you may request a reasonable accommodation by contacting our People and Organization department at careers@avangrid.com.

Avangrid employees may be assigned a system emergency role and in the event of a system emergency, may be required to work outside of their regular schedule/job duties. This is applicable to employees that will work in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate functions. This does not include those that will work for Avangrid Power.

Avangrid employees may also be assigned a NERC Reliability Standards compliance role supporting Critical Infrastructure Protection (CIP) and/or Operations and Planning (O&P) responsibilities. This is applicable to employees that will work in electric transmission, operations, and cyber security business areas in Connecticut, Maine, Massachusetts, and New York within Avangrid Network and Corporate business areas. NERC Reliability Standards compliance roles and responsibilities may include additional access protections, training, audit engagement, and required evidence retention, and will be communicated by the employee's management.

Job Posting End Date:

August-1-2026