Jr Data Scientist

HirePower Staffing Solution; Detroit (MI); On-site; USD 70,000 - 90,000; Full time

Job summary

A staffing agency seeks a passionate Junior Data Scientist to join a Data Engineering team in Detroit. This role supports the design and maintenance of scalable big data pipelines. Ideal for recent graduates with foundational knowledge of SQL and programming. Strong analytical skills are a must. Opportunity to work with big data tools and cloud platforms.

Qualifications

• Minimum 1-3 years of foundational knowledge of SQL and one programming language.
• Understanding of big data concepts and distributed systems.
• Exposure to data tools like Apache Spark, Hadoop, or Hive.

Responsibilities

• Support the design, development, and maintenance of scalable big data pipelines.
• Work with large-scale datasets across structured and unstructured data sources.

Skills

Foundational knowledge of SQL

Programming (Python, Scala, or Java)

Understanding of big data concepts

Exposure to data tools (Apache Spark, Hadoop, Hive)

Work with cloud platforms (AWS, Azure, GCP)

Familiarity with relational databases (MySQL, PostgreSQL)

Familiarity with NoSQL databases (MongoDB, Cassandra)

Knowledge of data pipelines and processing

Understanding of data-warehousing and data-modelling

Strong analytical thinking

Education

Master’s degree in Computer Science or related field

Job description

Job Summary:

We are looking for a passionate and motivated Junior Data Scientist on W2 to join our Data Engineering team. In this role, you’ll support the design, development, and maintenance of scalable big data pipelines and platforms. This is an excellent opportunity for recent graduates or junior professionals looking to build a strong foundation in data engineering and analytics.

Required Skills:

• Minimum 1-3 years of Foundational knowledge of SQL and one programming language (preferably Python, Scala, or Java) after your Master’s degree in computer science, Data Engineering, Information Systems, or a related field.
• Understanding of big data concepts and distributed systems (HDFS, MapReduce, etc.)
• Exposure to data tools like Apache Spark, Hadoop, or Hive.
• Work with cloud platforms like AWS, Azure, or GCP for big data storage and processing.
• Familiarity with relational databases (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra, etc.)
• Basic knowledge of data pipelines, data ingestion, and batch/stream processing.
• Understanding of data-warehousing and data-modelling techniques.
• Work with large-scale datasets across structured and unstructured data sources.
• Strong analytical thinking and attention to detail.

We’re excited to connect and explore how your skills can contribute to our growing team. Looking forward to hearing from you!