Lucas Group has partnered with a client in the Technology industry to identify a Data Scientist to join their dynamic and rapidly growing organization.
Our client is focused heavily on innovation within the B2B and E-Commerce spaces and is looking for this Data Scientist to create new solutions for their newly launched product offering that has generated increased customer demand. The intention is for this individual to move into a lead role as the Data Science team continues to grow over the next year.
This is a fully remote position and will report directly into the Chief Technology Officer.
Responsibilities
- Manages and transforms very large data sets
- Works on moderate to complex projects that require a singular area of expertise
- Leads project planning sessions with users, business analysts, and team members to gather and analyze user requirements. Develops recommendations
- Formulates mathematical models in an appropriate programming language or application
- Analyzes raw input data from computer or other media
- Validates and tests of models to ensure adequacy, or determines need for reformulation
- Utilizes and stays current on applicable programming languages and software technologies
- Tracks progress and reports out to stakeholders
- Knows what quality means, strives for quality, designs for quality, tests and refines until a very high quality is achieved, and continuously improves
- Delivers prototypes / proofs of concept • Recommends plans to bring to Production
- Manages and maintains non-trivial software artifacts which achieve the capabilities listed above
- Strives to create clean, widely applicable / reusable artifacts • Participates in daily scrum team meetings and other agile ceremonies
- Operates with minimal supervision required (supervision by manager and product owner a couple of times per week)
Qualifications
- Ph.D. in computer science, machine learning, engineering, mathematics, statistics, operations research, decision science, or related discipline; OR
- Masters degree in (same disciplines mentioned above) AND 2+ years experience after graduate school in computation, data science, machine learning or related; OR
- Bachelor degree AND 4+ years experience • Excellent computing and software engineering skills: python, other programming (e.g., C++/Java), cloud distributed computing (e.g., Azure, Databricks), machine learning frameworks (e.g., spark MLLib, tensorflow), UNIX, bitbucket, Target Process/JIRA or other Agile development tool, concepts of data engineering
- Strong critical thinking and problem solving ability
