Lead Data Scientist

Job Description

Job Description

Job Title: Data Scientist
Location: Ford-US-MI-Dearborn (Onsite)
Years of Experience: 7-10 Years
Job Summary:
We are seeking a highly skilled Data Scientist with a strong foundation in Data Engineering to join our dynamic team in Dearborn, MI. The ideal candidate will possess a deep understanding of data manipulation, analysis, and modeling, coupled with robust data engineering capabilities. This role is pivotal in transforming raw data into actionable insights that drive business decisions.
Responsibilities:
Develop and implement data models and algorithms to analyze large datasets.
Collaborate with cross-functional teams to understand data requirements and deliver data-driven solutions.
Design and maintain scalable data pipelines and architectures to support data processing and analysis.
Utilize statistical methods to analyze data and generate useful business insights.
Communicate findings and insights to stakeholders through data visualization and reporting.
Continuously improve data collection and processing techniques to enhance data quality and efficiency.
Stay updated with the latest industry trends and technologies in data science and engineering.
Mandatory Skills:
Proven experience in Data Engineering, including data pipeline development and ETL processes.
Strong proficiency in programming languages such as Python, R, or Scala.
Expertise in SQL and database management systems (e.g., PostgreSQL, MySQL, or NoSQL databases).
Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
Solid understanding of machine learning algorithms and statistical modeling techniques.
Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) for data storage and processing.
Preferred Skills:
Experience with big data technologies (e.g., Hadoop, Spark).
Knowledge of data governance and data quality frameworks.
Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
Experience in deploying machine learning models in production environments.
Strong problem-solving skills and ability to work in a fast-paced environment.
Qualifications:
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
7-10 years of relevant experience in data science and data engineering roles.
Strong analytical and critical thinking skills.
Excellent communication and collaboration skills.
If you are a passionate Data Scientist with a strong Data Engineering background and are looking to make a significant impact in a collaborative environment, we encourage you to apply.