We Are Experts in Finding & Placing Pre-Qualified IT Talent

Search our Openings

Job Title
State
Location
Job Type

Remote Data Scientist ( Python / Data Analytics )

  • Salt Lake City, UT
  • Direct Hire
  • Job ID: 22-00312

Location: Remote
Type: Full-Time
Salary: $110,000 – $130,000 yearly

Job Description 

We are looking for a Data Scientist to play a critical role in our Client's growing Data Science team, building the best-in-class cyber insurance risk modeling technology. The ideal candidate will be responsible for developing advanced analytics and machine learning models across multiple product channels. If you are passionate about transforming data into actionable insights, we want to talk to you.

The things we'd like you to do:

  • Partner with business and technical stakeholders across the organization to translate challenging business problems into impactful data science solutions
  • Collaborate with data engineers, data stewards, product owners and business users to support projects through the end-to-end data science lifecycle, including data wrangling, exploratory analysis, hypothesis testing, modeling, rapid prototyping, business validation/testing, and operational deployment
  • Apply a variety of advanced analytical techniques, including predictive modeling, machine learning, time series analysis, simulation, and optimization
  • Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling
  • Communicate complex analytical work to a variety of technical and non-technical stakeholders
  • Maintain expertise and awareness of emerging data science techniques, technologies, and potential business applications
  • Work with the engineering team to integrate risk models with Measured’s cyber-insurance products
  • Deliver with a user experience mindset, including the production of visualizations and infographics to distill complex information

Qualifications

  • BS/BA in Statistics, Mathematics, Computer Science, Data Science, Engineering or quantitative field; Master’s in Data Science is preferred or an additional 3 years of relative experience beyond the minimum requirement may be substituted in lieu of a degree
  • Knowledge of statistical and modeling techniques including hypothesis testing, dimensionality reduction, supervised learning (classification and regression), forecasting, and unsupervised clustering
  • Some knowledge and experience in scripting and programming with Python, Jupiter notebooks and Client/Data Analytics libraries
  • Aptitude for learning and applying new technologies related to Data Science and Data Management
  • Working knowledge of Data Engineering tools on AWS such as Glue, Athena, S3

Additional Information

  • Get in on the ground floor of a new & growing company
  • Significant career advancement opportunities in an expanding operation.
  • The chance to have direct input on shaping company strategy and direction
  • Autonomy while being supported by skilled teammates
  • Ability to work remotely

Please note: This client is not accepting candidates submitted by other staffing firms or agencies at this time. Thank you.
 
Applicants for this opportunity must have an unrestricted right to work in the United States. [Persons in H-l, L-l, and OPT EAD status do not have unrestricted right to work.]
 
VALiNTRY Services and all its divisions are equal opportunity employers. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or any other federal or state protected category.
 
For immediate response please forward resumes to [email protected] | Stefany's LinkedIn
 
Stefany Dos Santos
IT Recruitment Manager
(Direct) 407-205-1127
(Office) 800-360-1407
www.valintry.com
 
For a complete list of our current openings, please visit VALiNTRYtechnology.com


Fill this out to apply


Maximum file size: 16 MB.

Already have an account? Sign in.

You must log in or create an account to save this job to your Favorites.
Specializing in Connecting Information Technologists with their Dream Jobs