This is a remote position.
Entry-Level Data Scientist Engineer - US / Canada - 1+ Year - Full-time
How to Apply : Visit skyrecruitments.com to learn more & apply
Brief Intro :
Have you got what it takes to succeed The following information should be read carefully by all candidates.
SkyRecruitment is a people-focused staffing and recruitment agency that believes in the power of the right match. We are passionate about connecting employers with qualified candidates who are a good fit for their business culture and values.
Salary : $60K - $70K
Skills and Abilities :
- Strong knowledge of R or Python for data analysis and modeling.
- Proficiency in statistical programs such as R, SAS, MATLAB, or Python.
- Familiarity with spreadsheets (VBA) and database applications (Access, Oracle, SQL, or equivalent technology).
- Basic understanding of SQL, Javascript, XML, JSON, and HTML.
- Ability to learn new methods quickly and work under deadlines.
- Excellent teamwork and communication skills.
- Strong analytical and problem-solving abilities.
Preferred :
- Knowledge of actuarial concepts and life, health, and / or annuity products.
- Experience with statistical modeling techniques such as GLM, Decision Trees, Time Series, Regression, etc.
- Familiarity with Microsoft DeployR.
- Exposure to insurance risk analysis.
- Basic experience in computational finance, econometrics, statistics, and math.
- Knowledge of SQL and VBA.
- Familiarity with R or Python for predictive modeling.
Why do we prefer SkyRecruitment?
SkyRecruitment's most recruitment clients have incredibly bright, mission-driven coworkers passionate about using modern web technologies to solve real-world problems and we're multiplying.
To continue building an engaging and dynamic organization, we're committed to giving everyone the support & connections with the best clients worldwide possible.
We believe diverse perspectives and backgrounds are critical to building great technology, and our goal is to cultivate an environment where people feel equally valued and respected.
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