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REMOTE Data Scientist

Lensa

Woonsocket (RI)

Remote

USD 100,000 - 125,000

Full time

2 days ago
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Job summary

An innovative firm is looking for a skilled data scientist to enhance its data science team. This fully remote role focuses on supporting critical projects in immunization insights and labor forecasting. The ideal candidate will leverage their expertise in time series forecasting and causal inference, utilizing tools like Python, Snowflake, and Data Bricks. Join a diverse and inclusive environment that values equal opportunities and fosters collaboration. If you have a passion for data science and want to make a significant impact in the healthcare sector, this is the perfect opportunity for you.

Qualifications

  • 7+ years of experience in data science with expertise in time series forecasting.
  • Hands-on experience with Python and Snowflake is essential.

Responsibilities

  • Support immunization insights and labor forecasting projects.
  • Run time series forecasting and causal inference models.

Skills

Data Science
Time Series Forecasting
Causal Inference
Python
Snowflake
Strong Communication Skills

Tools

Data Bricks
Teradata

Job description

Insight Global is seeking a data scientist to join a global pharmacy retail client’s data science team. The role involves supporting immunization insights and labor forecasting projects by running time series forecasting and causal inference models. The ideal candidate should be proficient in selecting and implementing appropriate models in environments utilizing Python, Snowflake, Teradata, and Data Bricks. This is a fully remote, 3-month contract position with potential for extension, offering a pay range of $65 - $75/hr.

The company values diversity and inclusivity and is committed to equal employment opportunities. Qualified candidates will be considered without regard to race, religion, sex, age, or other protected characteristics. For accommodations during the application process, contact HR@insightglobal.com.

Skills and Requirements
  • 7+ years of experience in data science
  • Expertise in time series forecasting and causal inference
  • Hands-on experience with Python and Snowflake
  • Strong communication skills and experience liaising with stakeholders, preferably in healthcare or pharmaceutical sectors
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