Lead Data Scientist & Data Engineer (Onsite)

Healing Strides Counseling; Dearborn (MI); On-site; USD 120,000 - 160,000; Full time

Job summary

Healing Strides Counseling in Dearborn, MI seeks a Data Scientist with a strong data engineering foundation to transform raw data into actionable insights. The role emphasizes building scalable pipelines, analyzing large datasets, and collaborating with cross-functional teams.

The ideal candidate brings 7–10 years of experience, proficiency in Python/R/Scala, and hands-on knowledge of ML techniques and cloud platforms to drive data-driven decisions across the organization.

Qualifications

• Proven experience in Data Engineering with ETL and pipelines.
• Proficient in Python, R, or Scala.
• Strong SQL skills and experience with PostgreSQL/MySQL/NoSQL.
• Experience with data visualization tools (Tableau/Power BI).
• Knowledge of ML algorithms and statistical modeling.
• Familiarity with cloud platforms (AWS/Azure/Google Cloud).

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.

Skills

Data engineering

Python

R

Scala

SQL

Data visualization

Cloud platforms

ML algorithms

Education

Bachelor's or Master's in Computer Science / Data Science / Statistics

Tools

Tableau

Power BI

Job description

Healing Strides Counseling in Dearborn, MI seeks a Data Scientist with a strong data engineering foundation to transform raw data into actionable insights. The role emphasizes building scalable pipelines, analyzing large datasets, and collaborating with cross-functional teams.

The ideal candidate brings 7–10 years of experience, proficiency in Python/R/Scala, and hands-on knowledge of ML techniques and cloud platforms to drive data-driven decisions across the organization.