

Sr Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Scientist specializing in Databricks and PySpark, based in Minneapolis, Minnesota. The contract-to-perm position offers $46-$59 per hour, requiring 5+ years of data science experience, strong data engineering skills, and collaboration abilities.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
472
-
ποΈ - Date discovered
September 30, 2025
π - Project duration
Unknown
-
ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Minneapolis, MN
-
π§ - Skills detailed
#Code Reviews #Data Quality #Data Pipeline #TensorFlow #R #Scala #Databricks #Data Engineering #PySpark #Python #Spark SQL #SQL (Structured Query Language) #Programming #Spark (Apache Spark) #Documentation #Visualization #ML (Machine Learning) #Data Cleansing #Databases #Libraries #PyTorch #Data Science
Role description
job summary:
The Data Scientist - Databricks/PySpark will be working with a team of 8-10 data scientists and engineers with diverse skill sets, including:
Data engineering (Databricks, PySpark, SQL)
location: Minneapolis, Minnesota
job type: Contract to Perm
salary: $46 - 59 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
Develop and deploy scalable data pipelines using Databricks and PySpark.
Design and implement machine learning models using Python and related libraries (e.g., Scikit-learn, TensorFlow).
Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.
Perform data cleansing and feature engineering to improve data quality and consistency.
Develop and maintain technical documentation for data pipelines and machine learning models.
Work with stakeholders to identify and prioritize data-driven projects.
Develop and deploy data visualizations to communicate insights to business stakeholders.
Stay up-to-date with emerging trends and technologies in data science and machine learning.
Collaborate with data engineers to ensure data quality and consistency.
Participate in code reviews and contribute to the development of best practices for data science and engineering.
qualifications:
5+ years of experience in data science or a related field.
Healthcare Industry Experience Is a Plus, But Not Required.
Strong background in data engineering (Databricks, PySpark, SQL).
Experience with machine learning (Python, R, TensorFlow, PyTorch).
Required Skills/Attributes:
3+ years of experience with Databricks and PySpark.
skills:
Communication Skills,Data Cleansing,Data Warehousing,Python (Programming Language),Machine Learning,Tensorflow,SQL Databases,Feature Engineering,Scikit Learn,Team Working
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
job summary:
The Data Scientist - Databricks/PySpark will be working with a team of 8-10 data scientists and engineers with diverse skill sets, including:
Data engineering (Databricks, PySpark, SQL)
location: Minneapolis, Minnesota
job type: Contract to Perm
salary: $46 - 59 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
Develop and deploy scalable data pipelines using Databricks and PySpark.
Design and implement machine learning models using Python and related libraries (e.g., Scikit-learn, TensorFlow).
Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.
Perform data cleansing and feature engineering to improve data quality and consistency.
Develop and maintain technical documentation for data pipelines and machine learning models.
Work with stakeholders to identify and prioritize data-driven projects.
Develop and deploy data visualizations to communicate insights to business stakeholders.
Stay up-to-date with emerging trends and technologies in data science and machine learning.
Collaborate with data engineers to ensure data quality and consistency.
Participate in code reviews and contribute to the development of best practices for data science and engineering.
qualifications:
5+ years of experience in data science or a related field.
Healthcare Industry Experience Is a Plus, But Not Required.
Strong background in data engineering (Databricks, PySpark, SQL).
Experience with machine learning (Python, R, TensorFlow, PyTorch).
Required Skills/Attributes:
3+ years of experience with Databricks and PySpark.
skills:
Communication Skills,Data Cleansing,Data Warehousing,Python (Programming Language),Machine Learning,Tensorflow,SQL Databases,Feature Engineering,Scikit Learn,Team Working
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.