Data Scientist Lead
Sorry, this job was removed at 11:01 p.m. (CST) on Wednesday, June 8, 2016
By clicking Apply Now you agree to share your profile information with the hiring company.
What We Do:
Uptake harnesses the power of underutilized data to empower businesses to make informed decisions. We partner with industry leaders to build a predictive analytics software that grows smarter in one industry because of what we learn in another. The result is a powerful platform that identifies problems before they happen, ultimately saving money, time and lives.
Our team drives this success by connecting customers and partners to the value of the Internet of Things, business-centric architectures and key technology transitions.
What You'll Do:
- Collaborate with our Vertical Lead’s to develop a Data Science roadmap
- Manage projects consisting of cross functional teams including Data Scientist, Software Engineering and Solutions Engineering
- Work on building out Uptake’s suite of cutting-edge data science tools
- Collaborate with the Data Science team members to identify common problems and areas for automation and standardization
- Apply cutting-edge machine learning techniques at large scale to streaming data
- Conduct research into advancements in algorithms, computing and statistics and apply those insights to Uptake
- Communicate results to clients and end users. Incorporate their feedback into future Data Science projects
Qualifications:
- 5+ years experience as a Data Scientist, Predictive Modeler, Analytics Professional or similar role
- Industry experience in one of the following areas
- Industrial technology
- Agriculture
- Mining
- Energy
- Transportation
- One or more published academic papers
- Previous contributions to patents are a plus
- Deep knowledge of open source statistical modeling tools such as R or Python
- Previous experience with Scala, Java and/or Spark is preferred
- Knowledge of Git or ability to learn it quickly is required
- Ability to frame problems and execute on them independently is a must
- Masters or Phd in a quantitative field, such as:
- Statistics
- Computer Science
- Physics
- Industrial Engineering
- Operations Research
Read Full Job Description