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Machine Learning Data Associate Jobs in Stratford, CT

About Your Role As a Data Associate, you will help us achieve our mission by owning and deeply ... Interested in learning more about working at Bridgewater? Hear about the experiences of our ...

Data Associate

Westport, CT

$16.75 - $21.75/hr

About Your Role As a Data Associate, you will help us achieve our mission by owning and deeply ... Interested in learning more about working at Bridgewater? Hear about the experiences of our ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Guides students through data preprocessing, feature selection, building and comparing ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Machine Learning Data Associate information

See Stratford, CT salary details

$10

$19

$31

How much do machine learning data associate jobs pay per hour?

As of May 30, 2026, the average hourly pay for machine learning data associate in Stratford, CT is $19.40, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.67 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Data Associate, and why are they important?

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a Machine Learning Data Associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What are Machine Learning Data Associates?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

What is the difference between Machine Learning Data Associate vs Data Analyst?

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

What cities near Stratford, CT are hiring for Machine Learning Data Associate jobs? Cities near Stratford, CT with the most Machine Learning Data Associate job openings:
Infographic showing various Machine Learning Data Associate job openings in Stratford, CT as of May 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $40,355 per year, or $19.4 per hour.
Data Associate

Full-time

Posted 22 days ago


Job description

About Bridgewater
Bridgewater Associates is a premier asset management firm, focused on delivering unique insight and partnership for the most sophisticated global institutional investors.
Our investment process is driven by a tireless pursuit to understand how the world's markets and economies work - using cutting-edge technology to validate and execute on timeless and universal investment principles.
Founded in 1975, we are a community of independent thinkers who share a commitment to excellence. By fostering a culture of openness, transparency, and inclusion, we strive to unlock the most complex questions in investment strategy, management, and corporate culture.
Explore more information about Bridgewater on our website here.
Our Culture
Our culture is anchored in excellence, meaning constant improvement, and it is deeply tied to our mission. Because markets are objective, competitive, and getting smarter everyday, we need to keep rapidly improving to have any chance of beating them. Truth is our most essential tool for engaging with the markets and constantly improving because once you know what's true about your problems and opportunities, you can determine how to get better. Valuing truth means being transparent about your decision-making and mistakes, giving and receiving feedback with humility, and fighting for the best answers over hierarchy, ego, or self-interest. Operating this way is hard - it's only possible because we build meaning in our work and relationships. This meaning comes from the audacity of the mission, and the joy of working alongside people who make you a better version of yourself. The culture, like Bridgewater itself, is always evolving. In 1997 our founder Ray Dalio wrote down his lessons, starting with a Philosophy Statement which remains our foundation. This later evolved into a set of 300+ Principles. In 2022, when Ray transitioned the company, we re-underwrote several of those principles and evolved others, with a specific focus on Meritocracy. Today the culture sits, alongside our people, as our most important edge. When we get it right, it's the engine that powers everything else.
About the Investment Implementation Department
The Investment Implementation department is a community of diverse investment professionals whose mission is to implement our investment strategies and client portfolios excellently. Our Department is responsible for ensuring the excellent implementation of our systematic investment approach, from raw data to executed trades, with processes and logic that reflect the full richness of our investment insight, executed with a near-zero error rate, and engineered and orchestrated in a way that facilitates oversight and compounding. This is an investment department, owning the investment outcomes, and the mandate includes both the 'run' responsibility and the 'transform' responsibility, meaning daily operations as well as over time renovation of our systems.
We fulfill our mission by applying four operating principles:
  • Understand and deliver internal client needs. Partner with our internal clients to understand, offer implementation designs, and deliver solutions, while proactively educating and communicating outcomes to ACLs (Asset Class Leads) and CIOs.
  • Own our investment intent. Own our investment intent in full, in letter and spirit.
  • Continuously improve. Have and evolve an investment pipeline to meet current and future internal client needs.
  • Systematically and relentlessly deliver quality outcomes. Apply our best logic systematically, discipline, expertise, and controls to every signal, position, and trade in every market

About the Team
As part of the research team, the Signal Implementation group is responsible for owning and deeply understanding both the data that flows from the outside world and the logic applied to it within Bridgewater's systematic trading systems.
About Your Role
As a Data Associate, you will help us achieve our mission by owning and deeply understanding the data and logic used to build Bridgewater's systematic trading systems. This means understanding the content itself, the process by which the content is updated, validated, and evolved and how this content fits into Bridgewater's understanding of the world.
In this role, you will be expected to understand both the current data ecosystem and the needs of investment professionals, with a long-term vision for how our investment data ecosystem should scale and adapt over time. You will take ownership of key data workflows, ensuring high standards for investment data quality and consistency across the firm. This is a fast paced, critical function that directly impacts portfolio construction and research alpha.
We are looking for someone who combines a rigorous analytical mindset with a passion for data, content integrity, and system improvement. The ideal candidate has several years of experience working with data systems.
Interested in learning more about working at Bridgewater? Hear about the experiences of our employees here.
You will drive the following responsibilities:
  • Understanding sets of investment "data concepts" - how outside data is used at Bridgewater from both a conceptual investment and technical construction perspective (e.g., pricing, macroeconomic, fundamentals, alternative data).
  • Validating the accuracy of those data concepts - providing domain expertise in content understanding, especially around market, security master, and time-series data.
  • Accepting and engaging with new data as our systematic investment engine incorporates it - refining and maintaining high standards for data engineering and investment data integrity.
  • Continuously evolving these data concepts over time by improving the logic or technical definitions, contributing directly to improving Bridgewater's investment logic.
  • Working with Bridgewater's partners in the content supply chain (analytics, engineering, and technology) to address data quality, architectural or logic issues.
  • Collaborating with vendors, engineers, and data consumers to streamline workflows and improve data time-to-insight.
  • Operate workflows that enrich and augment unstructured data assets.
  • Execute and evaluate data creation for benchmarking of LLM assets and AI tools.

You will be a click for the role if you:
  • Are analytical, highly logical, and structured in your thinking
  • Are deeply interested in understanding financial markets
  • Are passionate about data
  • Think in terms of systems and naturally look for ways to solve problems through the evolution of those systems
  • Hold a high degree of personal responsibility and ownership in everything you do
  • Enjoy learning about new data tools and programming languages

Interested in learning more about working at Bridgewater? Hear about the experiences of our employees here.
Position Requirements
To succeed within our unique culture and work environment, individuals must demonstrate humility, innate curiosity, and openness to new ideas and approaches. Candidates must be driven, confident, and goal-oriented. All Bridgewater employees are expected to be honest, exceptionally direct, and eager to provide and receive objective feedback. Our employees constantly strive for self-improvement through feedback and self-reflection and are committed to the pursuit of excellence.
Minimum Qualifications
  • 4-year degree from an accredited undergraduate institution.
  • 2-4 years of relevant experience in data.
  • Strong working knowledge of financial data (e.g., Bloomberg, Refinitiv, alternative data vendors).
  • Experience working with time-series data and security master data.
  • Familiarity with data modeling, data pipelines, and cloud-based data solutions (e.g., Snowflake, AWS).
  • Proficient in at least one programming language.
  • Strong analytical skills, a systems-oriented mindset, and ability to work independently in a fast-paced, high-stakes environment.

Physical Requirements
The anticipated onsite requirement for this role is three days per week at our Westport, CT campus and one day per week at our NYC campus.
Why Choose Bridgewater?
It takes all types to make Bridgewater great. We seek a diverse group of innovative thinkers and push them to engage in rigorous and thoughtful inquiry. We develop people through an honest examination of their abilities and performance, enabling personal growth and professional development. We strive to provide you with opportunities that will challenge you and unlock your potential.
Compensation Band
The expected annual base salary for this position is $120,000-$150,000. The total compensation package includes variable compensation in the form of a discretionary target bonus.
One of our core priorities at Bridgewater is to enable our employees to build a great life and career, and we believe our benefits are an important extension of that philosophy. As such, currently Bridgewater offers a competitive suite of benefits. Explore more information about Bridgewater's benefits on our website here.
Bridgewater reserves the right to change its current benefits program at any time, in a manner that is consistent with applicable federal and state regulations.
This job description is not a contract and confers no contractual rights, privileges, or benefits on any applicant or potential applicant. Bridgewater has the right to change any and all terms of this job description, including, but not limited to, job responsibilities, qualifications and benefits. Nothing in this job description constitutes an offer or guarantee of employment. Please note that we do not provide immigration sponsorship for this position.
Bridgewater Associates, LP is an Equal Opportunity Employer