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Entry Level Python Data Science Jobs in Hartford, CT

GenAI Data Engineer

Hartford, CT ยท On-site +1

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments ...

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments ...

Data Engineer

Hartford, CT

$115K - $138K/yr

Within Customer Operations Data Science, we build modern AI products that optimize customer ... Experience with Python or similar programming languages. * Familiarity with AWS and/or GCP cloud ...

AI Engineer

Hartford, CT ยท On-site

$115K - $138K/yr

... data science|PYTHON Technical Skills 2 Technology|Data Science|Machine Learning Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights ...

AI Engineer

Hartford, CT ยท On-site

$115K - $138K/yr

Job details Job Role Data Science Consultant 2 Career Role Lead Analyst - Data Science Work ... Required Skill and Experience Strong programming skills in Python Hands-on experience with AI/ML ...

Data Engineer Fellow

Hartford, CT ยท On-site

$115K - $138K/yr

Bachelor's degree (completed or in progress) in Computer Science, Data Science, Information Systems ... Basic proficiency in Python (or similar scripting language) for data processing * Familiarity with ...

Data Engineer

Hartford, CT ยท Hybrid

$100K - $151K/yr

Bachelor's degree in Computer Science, Engineering, IT, Management Information Systems, or a related discipline * Experience in R (preferred), Python, and SQL * Experience in ingesting data from a ...

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Entry Level Python Data Science information

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How much do entry level python data science jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for entry level python data science in Hartford, CT is $59.13, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.16 per hour, depending on experience, location, and employer.

What are some common challenges faced by entry-level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an Entry Level Python Data Scientist, and why are they important?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are the most commonly searched types of Python Data Science jobs in Hartford, CT? The most popular types of Python Data Science jobs in Hartford, CT are:
What are popular job titles related to Entry Level Python Data Science jobs in Hartford, CT? For Entry Level Python Data Science jobs in Hartford, CT, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Hartford, CT look for? The top searched job categories for Entry Level Python Data Science jobs in Hartford, CT are:
Infographic showing various Entry Level Python Data Science job openings in Hartford, CT as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $122,995 per year, or $59.1 per hour.
GenAI Data Engineer

GenAI Data Engineer

Tiger Analytics Inc.

Hartford, CT โ€ข On-site, Remote

$115K - $138K/yr

Full-time

Re-posted 23 days ago


Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data 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 been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.
We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.
Requirements
  • Design and implement robust data pipelines that ingest, process, and store unstructured data formats at scale within Snowflake and GCP.
  • Leverage Snowflake's unstructured data capabilities (Directory Tables, Scoped URLs, Snowpark) to make "dark data" queryable and actionable.
  • Build and maintain cloud-native ETL/ELT processes using BigQuery, Cloud Storage, and Dataflow, ensuring seamless integration between GCP and Snowflake.
  • Instead of just using LLMs, you will integrate AI tools (OCR, NLP entities, Document AI) into the engineering flow to transform unstructured blobs into structured insights.
  • Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments efficiently.

Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.