Data Scientist

Dale WorkForce Solutions; Thousand Oaks (CA); Remote; USD 80,000 - 120,000; Full time

Job summary

An innovative global biotech company is seeking a Data Scientist to join their dynamic team. This exciting role involves collaborating with stakeholders, developing applications, and managing data pipelines using cutting-edge technologies such as Python, JavaScript, and SQL. The ideal candidate will have a strong science or engineering background, excellent communication skills, and experience with cloud-based solutions like AWS. This position offers the opportunity to work remotely and contribute to impactful projects in a fast-paced environment. If you're passionate about data science and eager to tackle complex challenges, this is the perfect opportunity for you!

Qualifications

• 2+ years of data science experience with a strong programming background.
• Experience with cloud-based solutions and data engineering principles.

Responsibilities

• Collaborate with stakeholders to gather requirements and translate them into code.
• Develop applications and data pipelines using Python, JavaScript, and SQL.

Skills

Python

JavaScript

SQL

Git

Data Engineering Principles

Collaboration Skills

Agile/Scrum Methodologies

Education

Bachelor's Degree

Tools

AWS (S3, RDS, EC2)

Databricks

Spotfire

Tableau

Power BI

Docker

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 a science or engineering background and programming skills, to join our dynamic team. The ideal candidate will:

1. Collaborate with stakeholders across the business to gather requirements and translate them into code.
2. Develop and maintain applications and data pipelines using Python, JavaScript, and SQL.
3. Design and deploy databases for valuable data assets.
4. Utilize Git for version control and collaborative development.
5. Apply data engineering principles to ensure robust and scalable solutions.
6. Engage in information modeling and semantic modeling.
7. Apply AI tools to enhance scientific workflows and digital capabilities.

Required Skills and Qualifications

1. Bachelor's degree and at least 2 years of data science experience.
2. Proficiency in Python programming.
3. Strong knowledge of JavaScript and React, with prior experience in frontend development.
4. Experience with Git for version control.
5. Advanced SQL skills.
6. Experience designing, implementing, and managing cloud-based solutions using AWS services such as S3, RDS, and EC2.
7. Familiarity with data engineering principles and ETL tools.
8. Experience or familiarity with information modeling and semantic modeling, especially in a biopharma setting.
9. Excellent collaboration and communication skills to work effectively with various stakeholders.
10. Experience with Agile or Scrum methodologies.

Preferred Qualifications

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