Senior Data Analyst

As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the design, development, and implementation of cutting-edge machine learning models and algorithms to address intricate business challenges. Your role will involve analyzing large datasets to identify meaningful patterns, trends, and relationships, using a combination of statistical methods, machine learning techniques, and data visualization tools. Additionally, you will be responsible for developing and validating approaches that ensure accuracy, robustness, and scalability for production deployment., * Lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex business problems.

• Collaborate with cross-functional teams, including product managers, engineers, and business stakeholders, to identify data-driven opportunities and translate them into actionable insights.
• Analyze large datasets to extract meaningful patterns, trends, and relationships, leveraging statistical methods, machine learning techniques, and data visualization tools.
• Develop and validate approaches, ensuring accuracy, robustness, and scalability for deployment in production environments.
• Communicate findings and recommendations to both technical and non-technical audiences through detailed reports, presentations, and data visualizations.
• Mentor and provide guidance to junior data scientists and analysts, fostering a culture of continuous learning and innovation.

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in data science, with a strong background in statistical analysis, machine learning, and predictive modeling.
• Proficiency in programming languages such as Python.
• Strong expertise in SQL and experience working with large-scale databases and data processing frameworks.
• Demonstrated ability to work with complex data sets, including data cleaning, transformation, and feature engineering.
• Experience with data visualization tools such as Tableau, Grafana, or Matplotlib to present insights and results effectively.
• Strong problem-solving skills, with the ability to work independently and manage multiple projects simultaneously.
• Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.
• Must be authorized to work in the US without sponsorship at time of application and in the future., * Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
• Experience with deep learning techniques and frameworks such as TensorFlow, or PyTorch.
• Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud.
• Experience where data science has driven significant business outcomes.
• Strong understanding of A/B testing, experimental design, and causal inference techniques.
• Experience with MLOps practices, including model deployment, monitoring, and lifecycle management in production environments.
• Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

• Comprehensive medical benefits coverage, dental plans and vision coverage.
• Health care and dependent care spending accounts.
• Employee and Family Assistance Program (EAP).
• Employee discount programs.
• Retirement plan with a generous company match.
• Generous Paid Time Off, Sick, and Holidays
• Family Leave (Maternity, Paternity)
• Short- and long-term disability
• Life insurance and accidental death & dismemberment insurance