Apply on Employer Site

U.S. Venture, Inc. · 1 day ago

Senior Data Scientist

Milwaukee, WI

Full-time

Hybrid

Senior Level

5+ years exp

U.S. Venture, Inc. is seeking a Senior Data Scientist to lead the design and development of analytical tools that address complex business challenges. This role focuses on driving high-value modeling initiatives and experimentation, operationalizing solutions, and embedding advanced analytics into core processes to deliver measurable business impact.

AutomotiveEnergyRenewable EnergyService Industry

Growth Opportunities

No H1B

Responsibilities

Lead and influence technical direction within projects, shaping methodologies and best practices

Mentor and develop junior team members, fostering growth while advancing your own expertise

Innovate and expand our suite of analytical solutions to strengthen organizational capabilities

Advance research in priority areas, ensuring robust analysis precedes modeling and experimentation

Apply data science fundamentals: data collection, cleansing, modeling, and visualization

Develop solutions in Python and SQL to solve complex problems

Perform advanced data analysis and hypothesis testing to validate assumptions and guide modeling decisions

Apply modern software engineering principles for data science (CI/CD, Git, object-oriented programming, containerization)

Perform advanced statistical modeling techniques, including classification and regression (ML/AI)

Optimization model methodologies

Forecasting model development and management

Architect scalable, reliable model services with monitoring and retraining strategies

Establish robust evaluation frameworks (bias and robustness checks, ablations, model cards)

Lead innovation and data research efforts for new concepts and technologies

Coordinate and facilitate technical brainstorming and ideation sessions

Build proof-of-concepts and prototypes to validate emerging approaches

Advance research initiatives in areas such as LLM/RAG evaluation & safety, AI agent frameworks, generative AI applications (text, vision, multimodal), advanced optimization, and causal ML

Develop reusable accelerators and standards to shorten time-to-value for future projects

Mentor junior team members in innovative solution development

Stay ahead of industry trends and proactively identify opportunities to integrate cutting-edge techniques into business processes

Champion responsible AI practices in all innovation efforts

Lead problem framing and EDA to ensure the right method for the problem

Own full lifecycle: model → experiment → pilot → monitoring → decision/adoption

Drive prioritization and trade-off decisions to balance accuracy, scalability, and time-to-value

Deliver executive‑ready decision briefs and technical documentation

Collaborate with platform and product teams to ensure seamless integration and operational reliability

Embrace mentorship of junior team members and code reviews; guide method selection and documentation

Coordinate with Platform for business‑critical productionization and SLO alignment

Build strong relationships and establish credibility with stakeholders at all levels, including senior leadership, through effective interpersonal and communication skills

Qualification

PythonSQLStatistical modelingMachine LearningData managementCI/CDGitObject-oriented designBusiness acumenCommunication skillsMentorship

Required

Bachelor's or Master's degree in Data Science, Data Analytics, Economics, Statistics, Computer Science or a related field involving problem solving and critical thinking, or equivalent work experience

5+ years working in data science-specific roles, with demonstrated experience working in roles that require proficiency with data modeling, statistical modeling, model deployment, data management with evidence of strategic impact

Proven project experience working in ML and experimentation; strong software design instincts and observability practices

Expertise in Python and SQL, with the ability to develop production-quality code using modern software engineering practices (e.g., object-oriented design, version control with Git, CI/CD pipelines)

Proven ability to translate complex results into clear decisions and trade‑offs

Demonstrated high-level business acumen with a supply chain, transportation, and/or energy background being preferred

Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders, including executives