Data Scientist / Machine Learning Engineer - Hybrid

Data Scientist / Machine Learning Engineer - Hybrid

Genesis10 is currently seeking a Data Scientist / Machine Learning Engineer - Hybrid position with a Global Financial Institution located in Charlotte, NC or Irving, TX. This is a 12+ month contract opportunity.

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.

Responsibilities:

• 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

Requirements:

• 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

Pay range: $59.53 - $67.53 per hour

Only candidates available and ready to work directly as Genesis10 employees will be considered for this position.

If you have the described qualifications and are interested in this exciting opportunity, please apply!