Data Scientist / Machine Learning Engineer

We are seeking a highly motivated Data Scientist / Machine Learning Engineer to join a team focused on building advanced analytics and Generative AI (Gen AI) solutions. This role combines strong data analysis capabilities with machine learning and emerging Gen AI techniques to drive business insights, automation, and innovation. The ideal candidate is hands-on, analytical, and comfortable owning the full lifecycle of data science solutions-from problem definition through model development and deployment-while collaborating closely with engineering and business stakeholders., * Perform in-depth data analysis and exploration using SQL and statistical techniques to uncover patterns, solve business problems, and support data-driven decision-making

• Design, develop, and implement scalable solutions using Python or Java, leveraging standard data science and machine learning libraries such as NumPy, SciPy, Matplotlib, and Scikit-learn
• Develop and evaluate machine learning models, including tree-based and ensemble algorithms such as Random Forest and XGBoost
• Apply AI-assisted techniques to enhance productivity and insights, including crafting effective prompts using Gemini or similar generative AI models
• Communicate insights clearly through visualizations, reports, and presentations, translating complex technical outputs into actionable business recommendations
• Partner closely with engineering teams for implementation and with business stakeholders to ensure alignment with strategic goals

• 5 years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education
• Strong SQL and data analysis skills, with the ability to work efficiently across structured and semi-structured datasets
• Proficiency in Python or Java for data science, machine learning, and analytical workloads
• Hands-on experience with machine learning frameworks and model development, including building, training, and evaluating predictive models in production or near-production environments
• Ability to work independently and own initiatives end-to-end, from problem definition and requirements gathering through solution delivery and validation
• Experience using generative AI models to augment analytical workflows, including familiarity with prompt engineering and leveraging LLMs for automation
• This is a hybrid position requiring 3 days per week onsite

Desired skills:

• Experience working in financial services, banking, or capital markets environments
• Familiarity with cloud platforms, data engineering pipelines, and model deployment frameworks
• Exposure to big data technologies, distributed computing, or real-time analytics environments

Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals.

For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10:

• Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years.
• The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years.
• Access to an experienced, caring recruiting team (more than 7 years of experience, on average.)
• Behavioral Health Platform
• Medical, Dental, Vision
• Health Savings Account
• Voluntary Hospital Indemnity (Critical Illness & Accident), For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website.