Data Scientist

Remote: 
Full Remote
Contract: 
Work from: 

Offer summary

Qualifications:

Bachelor's degree in a relevant field with 2 years of data science experience., Proficiency in Python and strong knowledge of JavaScript and React., Advanced SQL skills and experience with Git for version control., Familiarity with cloud-based solutions using AWS services and data engineering principles..

Key responsibilities:

  • Collaborate with stakeholders to gather requirements and translate them into code.
  • Develop and maintain applications and data pipelines using Python, JavaScript, and SQL.
  • Design and deploy databases for valuable data assets and apply data engineering principles.
  • Utilize AI tools to enhance scientific workflows and engage in information modeling.

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Dale WorkForce Solutions SME https://daleworkforce.com/
11 - 50 Employees
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Job description

Client: global biotech company
Job: Data Scientist
Location: 100% remote from the US
Duration: 1 year contract, open to extensions

Key Responsibilities:
We are looking for a data scientist, preferably with science or engineering background and programming skills to join our dynamic team. The ideal candidate will:
  • Collaborate with different stakeholders across the business to gather requirements and translate them into code.
  • Develop and maintain applications and data pipelines using Python, JavaScript, and SQL.
  • Design and deploy database for valuable data assets
  • Utilize Git for version control and collaborative development.
  • Apply data engineering principles to ensure robust and scalable solutions.
  • Engage in information modeling and semantic modeling.
  • Apply AI tools to enhance scientific workflows and digital capabilities.

Required Skills and Qualifications:
  • Bachelors's degree and 2 years of data science experience 
  • Proficiency in Python programming.
  • Strong knowledge of JavaScript and React and prior experience in frontend development.
  • Experience with Git for version control.
  • Advanced SQL skills.
  • Design, implement, and manage cloud-based solutions using AWS services such as S3, RDS, and EC2.
  • Familiarity with data engineering principles and ETL tools.
  • Experience or familiarity with information modeling and semantic modeling, especially in a biopharma setting.
  • Excellent collaboration and communication skills to work effectively with various stakeholders.
  • Agile or Scrum methodology experience

Preferred Qualifications:
  • Prior experience in a biopharma environment.
  • Strong problem-solving skills and the ability to tackle complex digital challenges.
  • Ability to work in a fast-paced, dynamic team environment.
  • Experience with data science tools such as Databricks, Spotfire, tableau, or Power BI.
  • Experience with Docker for containerizing applications and managing development environments
  • Hands-on experience with machine learning, predictive modeling, or AI-driven applications.
  • Prior experience developing web applications with Plotly Dash.
  • Exposure to generative AI tools and techniques.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Communication
  • Problem Solving

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