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Entry Level Data Scientist Jobs in Connecticut (NOW HIRING)

Matching candidates will need a Bachelor"s or Masters Degree of Science in Mechanical or Aerospace ... Support data acquisition/ reduction of hardware vibration environment measurements * Support ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

Entomologist (Army Medical / Scientific Officer)Job Overview As an Entomologist, you'll serve in ... Experience Level: Entry Level Requirements * Be a U.S. citizen by the time you commission as an ...

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Entry Level Data Scientist information

See Connecticut salary details

$43.8K

$157K

$231.6K

How much do entry level data scientist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for entry level data scientist in Connecticut is $156,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,000.00 and $161,700.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Data Scientist vs Data Analyst?

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

Can an entry level data scientist be entry-level?

Yes, an entry-level data scientist position is designed for individuals starting their careers in data science, often requiring minimal professional experience and foundational skills in programming, statistics, and data analysis tools. These roles typically focus on learning and developing skills such as Python, R, SQL, and machine learning basics under supervision.

How to get an entry level data scientist job with no experience?

To secure an entry-level data scientist position with no experience, focus on building a strong foundation in programming languages like Python or R, and learn key tools such as SQL and machine learning libraries. Completing relevant online courses, earning certifications, and working on personal or open-source projects can demonstrate skills to employers. Internships, volunteering, or participating in data competitions also provide practical experience and improve job prospects.
More about Entry Level Data Scientist jobs

What are the most commonly searched types of Data Scientist jobs in Connecticut?

The most popular types of Data Scientist jobs in Connecticut are:

What are popular job titles related to Entry Level Data Scientist jobs in Connecticut?

For Entry Level Data Scientist jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Scientist jobs in Connecticut look for?

The top searched job categories for Entry Level Data Scientist jobs in Connecticut are:

What cities in Connecticut are hiring for Entry Level Data Scientist jobs?

Cities in Connecticut with the most Entry Level Data Scientist job openings:

Infographic showing various Entry Level Data Scientist job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Hybrid job distribution, with an average salary of $156,979 per year, or $75.5 per hour.

Algorithmic Trading Analyst

Bestex Research

Stamford, CT • On-site

Full-time

Posted 12 days ago


Job description

BestEx Research is a financial technology and research firm specializing in building sophisticated execution algorithms and transaction cost modeling tools servicing multiple asset classes. The firm provides high-performance algorithmic execution services to hedge funds, CTAs, asset managers, and banks through a traditional electronic broker and in a broker-neutral Software as a Service (SaaS) model.

Its cloud-based platform, Algo Management System (AMS), is the first end-to-end algorithmic trading solution for equities and futures that delivers an entire ecosystem around execution algorithms, including Transaction Cost Analysis (TCA), Strategy Studio for algorithm customization, trading dashboards, and pre-trade analytics in a single platform. The platform is currently live across U.S., European, and Canadian equities and global futures markets.

BestEx Research is transforming a $100 billion industry by replacing traditional black-box execution with transparent, data-driven, and customizable algorithmic trading solutions. Our technology stack combines high-performance C++, Python, R, cloud infrastructure, and advanced quantitative research to build next-generation trading systems.

Our mission is to become the global leader in execution analytics and algorithmic trading while helping clients significantly reduce transaction costs across asset classes. Visit our website https://www.bestexresearch.com/ to learn more about our products, research, and mission.

Requirements

Description

We are seeking highly motivated and detail-oriented entry-level candidates to join our Stamford, CT team as Algorithmic Trading Analysts. This role is a foundational position within our electronic trading organization, designed for candidates who want to build deep expertise at the intersection of market structure, algorithmic execution, trading technology, and software development.

In this role, you will work closely on a variety of projects alongside our trading desk, quant and engineering teams to build and improve various aspects of our global multi-asset algorithmic trading platform. 

Over time, you will have the opportunity to build expertise in one of several different front office roles focused on quant research, product management or client coverage. 

Specifically, You Will:
  • Develop a strong working knowledge of market structure and electronic trading behavior in several asset classes and regions.
  • Learn how algorithmic execution strategies, routing logic, and trading systems underneath them actually work. 
  • Learn to evaluate algorithm performance across clients and strategies using statistical analysis and data visualization.
  • Gain experience testing and supporting our trading product.
  • Build fluency in product planning, prioritization, and cross-functional communication across trading, technology, and client teams
  • Develop communication and presentation skills for internal and client-facing interactions.
  • Develop working knowledge of Global Equities and Futures market structure, and how electronic trading behavior differs across regions and asset classes
Requirements
  • Bachelor’s, Masters or PhD in Computer Science, Engineering, Finance, Quantitative Finance, Mathematics, Statistics, Data Science or a related quantitative discipline
    Strong foundation in probability, statistics and data analysis.
  • Strong analytical mindset and problem-solving skills with high attention to details
  • Working knowledge of Python/R and SQL
  • Excellent written and verbal communication skills
  • Collaborative, proactive attitude with a strong sense of ownership and desire to learn in a fast-paced trading environment
  • Willingness to work in person daily in our office in Stamford, CT