Lead Data Scientist at Yantran LLC Dearborn, MI

Yantran LLC; 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

Job Description

Job Title: Data Scientist

Location: Dearborn, MI (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.