Senior Data Scientist (Machine Learning & Databricks)

Be Part Of A High-Performing Team:

Join a global industrial technology leader known for delivering innovative, data-driven solutions that power critical systems across industries. This organization is deeply invested in advancing analytics, reliability engineering, and digital transformation through cutting-edge data platforms. The team operates in a highly collaborative and fast-paced environment, working closely with architects, engineers, and domain experts to solve complex business problems. Current initiatives focus on building scalable machine learning solutions and leveraging modern cloud-based data platforms to drive operational efficiency and predictive insights.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

Fully remote work environment with standard EST business hours

Opportunity to work on high-impact data science initiatives within a mature enterprise data ecosystem

Exposure to advanced tools and frameworks including Databricks and distributed computing technologies

Collaborative team culture with strong emphasis on knowledge sharing and technical growth

How You Will Make An Impact:

Apply advanced data science methodologies to solve complex business and engineering problems

Design, build, and validate predictive models and machine learning algorithms

Partner with architects and engineering teams to develop scalable data pipelines and analytical solutions

Collaborate with cross-functional stakeholders to translate business needs into technical solutions

Troubleshoot, debug, and optimize models and data workflows in production environments

Contribute to continuous improvement through knowledge sharing and mentorship

Are you an experienced Data Scientist ready to make an impact?

3–6+ years of experience in data science, machine learning, or a related field

Strong hands-on experience with Python and SQL

Proven experience using Databricks in production environments (required)

Experience with machine learning, predictive modeling, and statistical analysis

Background working with large-scale data in cloud or distributed computing environments

Familiarity with AWS, Azure, or similar cloud platforms

Experience working in Agile environments and collaborating with cross-functional teams

Strong problem-solving skills and ability to communicate technical concepts to non-technical stakeholders

Bachelor’s or Master’s degree in Data Science, Computer Science, IT, or related field