Staff Data Scientist

Senior Data Scientist

Direct Hire

Onsite @ 2501 Se J St, Ste A, Bentonville, AR 72716

Position Summary.

What you'll do.

Chance to work on financial data for complex problems/challenges. Utilize LLMs/Genai systems and architectures to build and deploy state-of-the-art Genai systems. Our team collaborates closely with Finance teams to enhance financial planning and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of initiatives which provides actionable insights into trends and patterns and leveraging Generative AI (Genai) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations.

About Team:

Our team works closely with our US stores and eCommerce business to better serve customers by empowering team members, stores, and merchants with technological innovation. From groceries and entertainment to sporting goods and crafts, U.S. offers an extensive selection that our customers value, whether they shop online at .com, through one of our mobile apps, or in-store. Focus areas include customers, stores and employees, in-store service, merchant tools, merchant data science, and search and personalization.

What you'll do:

• Develop data science systems and tools for retail; e-commerce applications:
• Leverage LLMS to summarize and build large scale applications
• Establish cross-functional relationships to maintain win-win situation for the corporation
• Collaborate with various product stake holders and business owners to formulate and productionize a solution.

What you'll bring:

• Master's degree or PHD in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in analytics related field. Must have qualifications...
• Experience with training and inference of large-scale AI models such as Large Language Models (LLMs), multimodal models, and reasoning models.
• Knowledge of advanced model optimization techniques, including quantization, pruning, distillation, Low-Rank Adaptation (Lora), and Parameter-Efficient Fine-Tuning (PEFT) for cloud deployment.
• Solid understanding of LLMs and Genai ecosystems, including GPT, LLaMA, Mistral, Claude, Gemini, AWS Sonnet, and related frameworks/tools.
• Hands-on experience with RAG (Retrieval-Augmented Generation), AI agent development, and frameworks such as Lang Chain, Langgraph etc.,

Great to have.

• Experience with Big Data processing and feature engineering using Spark
• Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure
• Hands on experience of designing and training large DL models on GPU farm

Behavior qualifications.

• Problem solver with can-do attitude, not afraid of facing new problems, technical challenges, delivery pressures
• Ability to clearly define problems, models and constraints from informal and flexible business requirements
• Form collaborative working environment.
• Demonstrated ability to manage multiple cross-functional initiatives, balancing competing priorities and deadlines.
• Comfortable working in ambiguous, rapidly changing environments, with strong problem-solving and adaptability.

Benefits:

• Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Minimum Qualifications.

• Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
• Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.

Preferred Qualifications.

• Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
• Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following ’s accessibility standards and guidelines for supporting an inclusive culture.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity,

national origin, disability, or status as a protected veteran.

Recruiter Details:

Name: Adil Saifi

Email: adil@ustechsolutionsinc.com

Internal Id: 25-53400