Data Scientist

This is a fully remote position, open to applicants in Michigan.

📋 Description

• Conduct exploratory data analysis, feature engineering, and predictive modeling to deliver actionable insights and strategic guidance.

• Analyze, manipulate, and process extensive data sets.

• Create predictive and machine learning models utilizing both structured and unstructured data.

• Identify techniques for ongoing and automated statistical testing to improve the predictability of deployed models.

• Implement feature selection algorithms and sampling methods.

• Evaluate models using statistical performance metrics.

• Generate graphs, charts, and visualizations to effectively communicate analytical findings.

• Present results of mathematical modeling and data analysis both orally and in writing to stakeholders.

• Recognize business issues, objectives, relationships, trends, and factors influencing research outcomes.

• Suggest solutions to business challenges based on data analysis outcomes.

• Test, validate, and refine models for precise predictions.

• Develop functions or applications to perform analyses.

• Collaborate with machine learning engineers to implement relevant models.

• Organize project phases, estimate timelines, and convey them to the project manager.

• Guide project teams on application enhancements for improved predictive and prescriptive modeling.

• Establish and promote best practices in statistical or behavioral modeling.

• Lead the collection of new data and the enhancement of existing data sources.

• Work alongside engineering and product teams on the internal data platform.

• Mentor and train junior data scientists.

⛳️ Requirements

• 3 years of experience handling large data sets in Hadoop, AWS, Azure, or GCP environments.

• 3 years of experience with statistical and data mining tools and methodologies.

• 3 years of experience with supervised models, including regression and neural networks, as well as unsupervised techniques such as clustering, PCA, and SVMs.

• 3 years of experience working with SQL.

• 3 years of experience in Python and at least one strongly typed programming language, such as C++ or Java.

• 3 years of experience utilizing statistical packages.

• 3 years of experience delivering predictive and prescriptive analytics within a business context.

• Master’s degree in mathematics, statistics, computer science, or a related discipline, or equivalent experience.

• Advanced proficiency in data visualization libraries.

• Advanced understanding of statistical methodologies for modeling and business analytics.

🏝️ Benefits

• Eligibility for annual bonuses.

• Incentive programs.

• Comprehensive medical benefits.

• Dental coverage.

• Vision care.

• 401K retirement plan.

• Paid time off.

• Opportunities for career advancement.

• Reasonable accommodations for qualified individuals with disabilities.