Data Scientist

Troy, MI 48098

Posted: 08/14/2023 Category: Information Technology Job Number: 125239

Job Description

Title: Data Scientist
Location: Troy, MI (Hybrid)
Note: This position is a direct hire on W2, and is NOT open to C2C. Sponsorship may be available for the right candidate.

Our client is actively seeking a Data Scientist who possesses talent, passion, and expertise in extracting valuable knowledge from complex datasets, contributing to the development of data-driven strategies, and improving the overall efficiency of our operations. The client’s Insights team is a new team with an exponential growth opportunity – both in terms of technology and personnel, and we are looking for someone to share our mission that will transform our company’s future. As a Data Scientist, we expect this role to be instrumental in solving complex business problems, providing actionable insights, and supporting evidence-based decision-making. This position offers excellent career growth and promotional opportunities, stellar compensation, and an opportunity to work with the world's premier provider of aftermarket automotive data.

Primary Responsibilities
Data Analysis and Interpretation:
  • Collect, clean, and preprocess large datasets to ensure their accuracy and reliability.
  • Analyze and interpret data using statistical and machine learning techniques to identify trends, patterns, and correlations.
  • Extract actionable insights and present findings to stakeholders in a clear and understandable manner.
Model Development:
  • Develop and implement machine learning algorithms and models to address specific business challenges.
  • Optimize and fine-tune models for performance and accuracy using various methodologies.
  • Collaborate with cross-functional teams to integrate models into existing systems or applications.
Predictive and Prescriptive Analytics:
  • Leverage AWS machine learning services to build predictive models for forecasting and identifying patterns in data.
  • Utilize AWS data analysis tools to provide prescriptive analytics, offering data-driven recommendations and solutions.
Data Visualization:
  • Create visually appealing and informative data visualizations to facilitate better understanding and communication of insights.
  • Utilize data visualization tools to present findings in dashboards or reports for key stakeholders.
Continuous Learning and Innovation:
  • Stay updated with the latest trends, techniques, and advancements in data science, machine learning, and AI.
  • Explore and experiment with new methodologies to enhance the data analysis process and provide innovative solutions.

Required Experience (must have)
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
  • Proven experience as a Data Scientist with a minimum of 3 years in a professional setting.
  • Strong proficiency in programming languages such as Python or R for data manipulation and model development.
  • In-depth knowledge of machine learning algorithms, statistical methods, and data mining techniques.
  • Experience with data visualization tools (preferably Tableau, PowerBI) to communicate results effectively.
  • Proficiency in working with relational databases and SQL for data extraction and manipulation.
  • Solid understanding of data preprocessing techniques, feature engineering, and data transformation on the AWS platform.
  • Excellent problem-solving skills and the ability to approach complex business problems analytically.
  • Strong communication skills to articulate findings and insights to both technical and non-technical stakeholders.

Helpful Experience (nice to have)
  • Master’s degree in data science or related field.
  • Experience working with AWS services such as AWS S3, AWS Glue, AWS Redshift, AWS Sage Maker, AWS Lambda, etc.
  • Familiarity with AWS security practices and data governance principles.
  • Graph Data Base and Graph Modeling experience (Neo4j- nice to have).
  • TFS, Azure DevOps, or Jira project management/requirements management.

If you think this position is a good fit for you, please reach out to me - feel free e-mail me, or apply to this posting!

Andrew Torchine

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