Dash Job - Senior Data Scientist - Amazee Global Ventures

:mega: Plotly Dash Skills: Advanced SQL skills and proficiency in visualization tools such as Plotly.

Company: Amazee Global Ventures

Title: Senior Data Scientist

Category: Contract

Location: Laramie, WY, USA

Experience: Senior-level

Application: Link to apply

@OpenToWork


Full Job Description

This is the Contract W2 or 1099 opportunity with Amazee Global Ventures Inc.

The job description given below is for a Lead/ Architect level position.

We welcome all qualified applicants for this Contract W2 or 1099 role.

Job Title: Data Scientist

Job Type: Contract W2 or 1099

Job Mode: On-site

Location: Laramie, WY

Duration: 12+ Months (Long Term Possible)

Minimum Required Experience: 15+ years

Pay Rate: $60 on Contract W2 or 1099

Job Description:

  • Advanced SQL skills and proficiency in visualization tools such as Qlik, Tableau, Plotly Dash
  • Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like numpy, pandas, scikit-learn, etc.)
  • Familiarity with Linux/OS X command line, version control software (git), and general software development
  • BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics or related eld; equivalent experience will be considered
  • 15+ years of experience in data science or product analytics, preferably in fintech, with a strong foundation in predictive modeling, customer segmentation, and experimentation
  • Ability to formulate data-backed strategiesthat will drive step-function growth for the business as well as increase customer benefit
  • Ability to generate hypotheses grounded in customer behavior, industry trends,and external market factors. Experience in the fintech or SMB space is highly preferred.
  • The ability to go deep on complex and vague requirements and get business-moving recommendations from the data.
  • Experience in designing and interpreting complex experiments beyondtraditional A/B testing methods, such as inference testing
  • Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work
  • Outstanding communication skillswith the ability to influence decision makers and build consensus with teams
  • Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment
  • Experience using statistics and machine learning techniques to solve complex business problems within go-to-market and marketing areas, e.g., propensity for feature adoption, customer health scoring to identify customers at risk to cancel, next best action models