Data Scientist

Role: Data Scientist Location: Saint Louis, MO 63146 (Onsite) Duration: 12 Months (may be extended) Job Summary The Data Scientist builds analytical products to improve business processes. Responsibilities include: • Developing algorithms for automation • Building predictive models • Designing experiments • Performing causal inference using observational data • Applying mathematical optimization to identify profitable business policies • Collaborating with technical and non-technical stakeholders to drive adoption of analytical products Required Qualifications Education • Master's degree in a Statistical or Mathematical field such as: • Engineering • Social Science • Statistics Experience & Skills • 2+ years of experience with: • Predictive modeling • Statistical inference • Quantitative analysis • Experience with: • TensorFlow • PyTorch • Experience presenting to both technical and non-technical audiences • Proficiency in: • Python and/or R • Experience with: • Data exploration and visualization • Linux/Unix environments • SQL • Data preparation, merging, recoding, and transformation • Working with observational data for causal inference (matching, weighting, etc.) Preferred Qualifications • Doctorate (PhD) in a Statistical or Mathematical field • Experience designing experiments Roles & Responsibilities • Design and deliver analytical solutions with the team • Extract, clean, and manipulate structured and unstructured data • Perform exploratory data analysis (EDA) • Develop predictive models • Design and oversee experiments • Apply causal inference techniques using observational data • Document methodologies, results, and recommendations • Present findings to business stakeholders and team members • Collaborate across teams to implement analytical solutions • Continuously improve job performance through self-development and training • Maintain reliable attendance and punctuality • Perform additional job-related duties as assigned Generic/Managerial Skills • Strong communication and presentation skills • Customer IT and Business Team liaison experience • Problem-solving mindset • Results-oriented approach • Ethical and professional conduct • Forward-thinking attitude