BCforward

Lead Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist in Dallas/Fort Worth, Texas, for a 5-month contract at $52-$56/hr. Key skills include Python, deterministic optimization, and production ML systems. A graduate degree in a quantitative field is required, along with relevant industry experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
416
-
🗓️ - Date
June 25, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Fort Worth, TX
-
🧠 - Skills detailed
#Integration Testing #Mathematics #Deployment #SQL (Structured Query Language) #AI (Artificial Intelligence) #Consulting #Scala #ML (Machine Learning) #Python #Cloud #MongoDB #Data Science #Security #Automated Testing
Role description
Job Title: Lead Machine Learning Data Scientist Location: Dallas/Fort Worth Texas Duration: Temp - 5 months Pay Range: $52/hr $56/hr (W2) Job ID: 399802 About BCforwar dBCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity . Job Descripti onWe are seeking a Lead Machine Learning engineer/scientist to join our dynamic team. The ideal candidate will have strong experience in Python development, deterministic optimization with MIP solvers, and production ML/optimization systems and a proven ability to design, deploy, and maintain scalable optimization and machine learning solutions that deliver measurable business outcome s. Responsibiliti • es:Collaborate with leaders, analysts, project managers, architects, technical leads, engineers, and internal customers to translate requirements into AI and optimization solutio • ns.Maintain and enhance enterprise services and applications using domain-driven design and test-driven developme • nt.Troubleshoot and resolve complex production issues and implement robust fix • es.Create detailed specifications, requirements, and estimates for projects and featur • es.Research and implement new AI technologies to improve processes, security, and performan • ce.Partner with OR&AA and IT teams to gather requirements, challenge assumptions, and influence product direction for optimization capabiliti • es.Design, build, and enhance a Python-based Materials Distribution Optimizer on KPaaS using Mixed Integer Programmi • ng.Operate and improve a recurring production optimization system (~every 20 minutes) for reliability, scalability, and performan • ce.Develop and integrate predictive analytics to inform forward-looking optimization decisio • ns.Analyze historical data and build statistical or ML models to advance from greedy, point-in-time optimization to anticipatory decision-maki • ng.Implement and optimize Python-based ML pipelines for preprocessing, training, deployment, and monitori • ng.Monitor model performance, address bias, improve explainability, and ensure scalability and efficiency in producti • on.Write and maintain production-quality code and integrate models into applications with software engineering partne • rs.Contribute to CI/CD pipelines, automated testing, and application and model health monitori ng. Required Skills & Qualificati • ons:Graduate degree in a quantitative field such as Operations Research, Industrial Engineering, Applied Mathematics, or Data Scie • nce.Strong Python development experience building production applications and servi • ces.Proven experience designing and implementing deterministic optimization models with solvers such as Gurobi, CPLEX, or Xpress, ideally MIP-ba • sed.Experience operating production systems with reliability, scalability, and performance objecti ves. Preferred Sk • ills:Experience with dynamic or stochastic optimization or program • ming.Background in machine learning and integrating forecasts into optimization workf • lows.Familiarity with CI/CD pipelines, automated unit and integration testing, and cloud-based deploym • ents.Experience with database integration using SQL, MongoDB, or similar technolo • gies.Domain experience in transportation, supply chain, service parts logistics, or spare parts sys tems. Why BCfo rward?At BCforward, we believe in advancing lives and careers. When you join our team, you gain acce • ss to:Competitive compensation and ben • efits.Opportunities for growth with global cl • ients.A supportive, inclusive culture that values innovation and p • eople.Exposure to cutting-edge technologies and pro jects.