6 Month Contract-to-Hire Mid Level Data Scientist
Do you have interest or experience working with Sensor / IoT data and are looking for a role within a growing team that can grow your skillset and present new challenges?
We are looking for a mid-level data scientist to join a top company in the machinery space. You’d be working within both their connected services and commercial lending teams leveraging Machine Learning to build various predictive models utilizing Sensor / IoT data. Ideally, you will have 3-5 years of professional data science experience working with Python/R, Machine Learning, SQL, and Azure.
Any automation / machinery industry or product development experience is a huge plus as well. They are looking for this person to join their team in a 6-month contract-to-hire role. This position will offer you the opportunity to join a growing team in an industry that is continually innovating and advancing technologically.
Required Skills & Experience
- 3 years’ professional experience with Python or R
- 3+ years’ professional experience building predictive models utilizing Machine Learning
- Experience working with Azure
Desired Skills & Experience
- Product development or automation / machinery industry experience
- Experience working with IoT or Sensor data
- Experience with SQL databases
What You Will Be Doing
- 60% model building / utilizing machine learning
- 40% analytics
- 100% Hands On
- Competitive Pay: Up to $65/hr, DOE
- Contract Duration: 6 Months Contract-to-hire
You will receive the following benefits:
- Medical Insurance & Health Savings Account (HSA)
- Paid Sick Time Leave
- Pre-tax Commuter Benefit
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
This position does not offer sponsorship.
Jobspring Partners, part of the Motion Recruitment network, provides IT Staffing Solutions (Contract, Contract-to-Hire, and Direct Hire) across 10 major North American markets. Our unique expertise in today’s highest demand tech skill sets, paired with our deep networks and knowledge of our local technology markets, results in an exemplary track record with candidates and clients.