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Data Scientist

neteffects

Data Scientist

Saint Louis, MO
Full Time
Paid
  • Responsibilities

    Job Description

     We are looking for a mid level Data Scientist for St. Louis MO location

    Must have Skills: • Ph.D. (or MS with 4+ years of post M S experience) in Statistics, Mathematics, or closely related field • 2 years of experience in using statistical or machine learning methodologies to solve research problems • Proficiency in R and/or Python or in another high-level programming language • Experience in developing statistical, and machine learning models

    Experience in Time series data and forecasting is preferred

    Cloud experience is highly  preferred

     

    Company Description

    We’re committed to empowering each individual who works with us to take charge of their career. You won’t be alone on your journey. Our dedicated team is here to serve you as a partner in the process. What we offer for you: Interview preparation Resume review and recommendations LinkedIn review Local job market information, trends, and insights Access to networking events Informational career centric seminars. Neteffects Consultant Care Program: Keeping in Touch: Whether it’s a quick call or email, coffee or lunch, our check-ins support as much or as little interaction as you’d prefer. We’re here if you need us. Events: Neteffects participates in a number of events each year and hosts some employee-only social gatherings. Remarketing: When your project is nearing completion, we’ll partner with you to get you ready to engage in your next consulting opportunity through Neteffects. From resume review, to interview preparation and offer negotiation; we’ll work hard to help you excel. Neteffects Benefits: Neteffects is about celebrating technology and the pro's that come with it. We offer a very competitive benefits package, which includes Medical, Dental, Vision, Life, 401k, and more. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.