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Associate Data Scientist Experimentation Jobs (NOW HIRING)

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Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive ... Actively learning through experimentation when tackling new problems, using both successes and ...

SAS

Sr Associate Data Scientist

Cary, NC · On-site

$55K - $55K/yr

Sr. Associate Data Scientist- Hybrid, Cary, North Carolina We're a leader in data and AI. Through ... experimental findings. * Collaborate with fellow data scientists, software engineers, and ...

SAS

Sr Associate Data Scientist

Cary, NC · On-site

$55K - $55K/yr

Sr. Associate Data Scientist- Hybrid, Cary, North Carolina We're a leader in data and AI. Through ... experimental findings. * Collaborate with fellow data scientists, software engineers, and cross ...

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Associate Data Scientist Experimentation information

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$57.5K

$68K

$129K

How much do associate data scientist experimentation jobs pay per year?

As of Jun 10, 2026, the average yearly pay for associate data scientist experimentation in the United States is $68,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,000.00 and $59,500.00 per year, depending on experience, location, and employer.

What is the difference between Associate Data Scientist Experimentation vs Data Scientist?

AspectAssociate Data Scientist ExperimentationData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles may require internships or entry-level certificationsBachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field; advanced certifications beneficial
Work EnvironmentCollaborative teams focusing on experimentation, A/B testing, and initial data analysisBroader data analysis, modeling, and strategic decision-making across projects
Employer & Industry UsageTech companies, e-commerce, marketing firms focusing on testing and optimizationVaried industries including finance, healthcare, tech, and consulting with advanced analytics roles

In summary, Associate Data Scientist Experimentation typically involves entry-level work focused on testing and experimentation, while Data Scientists handle more complex modeling and strategic analysis. The roles often overlap in skills but differ in scope and experience level.

What cities are hiring for Associate Data Scientist Experimentation jobs? Cities with the most Associate Data Scientist Experimentation job openings:
What are the most commonly searched types of Data Scientist Experimentation jobs? The most popular types of Data Scientist Experimentation jobs are:
What states have the most Associate Data Scientist Experimentation jobs? States with the most job openings for Associate Data Scientist Experimentation jobs include:
Associate Data Scientist Experimentation jobs near you

Associate Data Scientist

Fidelity Investments

Jersey City, NJ • On-site

$83K - $158K/yr

Full-time

Medical, Retirement, PTO

Posted 23 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services

Job description

Job Description:
Job Description
Note: Fidelity will not provide immigration sponsorship for this position.
Job Title Associate Data Scientist, Fidelity Risk Group (FRG)
The Role
The Fidelity Risk Group (FRG) organization is seeking a curious, driven Associate Data Scientist to help strengthen the firm's ability to detect, prevent, and mitigate risk. This role is ideal for early-career data scientists with solid foundational knowledge and experience in Machine Learning (ML), Artificial Intelligence (AI), and emerging Generative AI techniques.
In this role, you will design, develop, and deploy advanced analytics and AI/ML solutions that enhance risk visibility, automate controls, and support data-driven decision-making across the enterprise. Your work will directly contribute to managing operational, financial, legal, and compliance risks in a rapidly evolving environment.
You will collaborate closely with partners across Risk, Compliance, Legal, and Technology teams, diving into complex challenges and translating them into scalable, production-grade models and tools that materially improve the organization's risk posture.
We're looking for a thoughtful problem-solver who is eager to learn, build, experiment, and make an impact.
The Expertise and Skills You Bring
What You'll Do
  • Participate in the full AI/ML lifecycle: Problem framing, data discovery, feature engineering, modeling, evaluation, deployment, monitoring, retraining, and continuous improvement.
  • Design and deploy GenAI applications: Build retrieval-augmented generation (RAG) or Graph-RAG pipelines, leverage vector databases (e.g., FAISS, Pinecone), and implement prompt engineering, evaluation frameworks, and safety/guardrails.
  • Build scalable AI/ML services: Productionize models via RESTful APIs and data pipelines; ensure performance, reliability, and cost efficiency.
  • Leverage cloud platforms: Develop, deploy, and monitor solutions in AWS (e.g., SageMaker), integrating with data platforms (e.g., Snowflake, Oracle).
  • Collaborate cross-functionally: Partner with product, engineering, and business teams.
  • Grow professionally: Join team ideation sessions, contribute to group problem-solving, learn from peers, participate in design and code reviews, and learn best practices as you help build high-quality AI/ML products.
  • Stay current: Research emerging methods (e.g., agents, RLHF, few/one-shot prompting), tools, and frameworks; experiment, build proof of concept, pilot, and operationalize where valuable.

Minimum Qualifications
Education & Experience:
  • Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, Physics, Finance (quantitative), or a related STEM field, plus 5+ years of relevant experience; or
  • Master's degree in one of the above fields with 1 to 3+ years of relevant experience.

Technical Expertise:
  • Strong proficiency in Python; experience with libraries/frameworks such as Pandas, Scikit-learn, XGBoost, PyTorch, NLTK, SpaCy, and others.
  • Hands-on experience building GenAI applications (prompting techniques, RAG & Graph-RAG architectures, evaluation, safety/guardrails).
  • Solid grounding in AI/ML/DL (e.g., classification, regression, NLP, NER, transformers, embeddings, sequence models, time series, evaluation metrics).
  • Proven ability to query databases (e.g. Oracle, Snowflake) and wrangle large structured, semi-structured. and unstructured datasets, to support exploratory data analysis, data visualization, data cleaning, feature engineering, and preparation for model ingestion.

Nice to Have
  • Experience in NLP: entity recognition, summarization, information retrieval (IR), conversational analytics, Q&A, and OCR.
  • Practical AWS experience (compute, orchestration, storage, and services).
  • GPU/CUDA optimization for accelerating training/inference.
  • Visualization/BI: Tableau, Plotly/Dash

The Team
Our data science team is a small, highly capable group driven by a relentless commitment to advancing Fidelity's mission through insight, innovation, and measurable impact. We combine deep technical expertise with a culture of research & learning, creativity, and collaboration to deliver AI/ML products at scale that solve complex business problems across Enterprise Risk. As part of Fidelity, we contribute to an organization that values integrity, trust, innovation, and the power of our people to deliver exceptional experiences for customers.
The base salary range for this position is $83,000-158,000 USD per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications:
Category:
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