Data Scientist – W2 ONLY

Matlen Silver
Published
November 14, 2022
Location
Remote work, Texas
Category
Default  
Job Type
Remote Work
  • Yes

Description

W2 ONLY - Unable to sponsor

At Leading Energy Renewable Company, we apply advanced analytics and modeling to address challenging business problems. We aim to promote customized offerings: the right product offered through the right channel, with the right message at the right time for each current or prospective customer. To accomplish this, we leverage our data via predictive modeling, statistical analyses, and optimization. If you love data, programming, creative problem solving, and communicating results, you will fit right in.

Essential Duties/Responsibilities:

- Apply statistical modeling or causal inference to optimize marketing efforts with respect to customer acquisition, retention, customer experience, and margin enhancement
- Lead and help develop more junior analysts
- Work with the marketing team to plan and analyze A/B tests
- Quantify the effects of various marketing levers
- Produce models that predict consumer behavior responses to various marketing levers
- Help executives monitor the pulse of the business by automating reports of key performance indicators
- Develop useful visualizations
- Translate, communicate, and present results and recommendations to a non-technical audience

Education:
Master's Degree in STEM

Experience:
- 3+ years in statistical modeling and quantitative analysis in professional work environment
- Experience in Bayesian Statistical modeling
- Experience with Causal Inference
- 2+ years Python experience
- Previous retail electricity market experience preferred
- Previous marketing experience preferred
- Experience analyzing weblog data a plus
- Kaggle competition experience also a plus

Have you done any interesting analytics projects for fun? We would love to see them!

Technical Skills:
- Experience in Bayesian Statistical modeling
- Experience with Causal Inference
- 2+ years Python experience
- Statistical modeling and analysis skills
- Strong general programming skills
-Ability to apply Statistical Modeling to data
- Proficiency with Python, including pandas and scikit-learn
- R programming a plus
-Bayesian Statistics a plus
-Survival modeling a plus

Additional Knowledge, Skills and Abilities:
- Ability to translate complex business issues into achievable analytical learning objectives and actionable analytic projects
- Solid understanding of the use and interpretation of graduate level multivariate statistical techniques and sampling methods, such as multi-variant regression, ANOVA, factor analysis, cluster analysis, and principal components analysis
- Ability to interpret complex analytic results and develop practical business implications
- Understanding of the utility business, to include service process, market structure/pricing and competitive environment
- Good communication skills
- Strategic marketing mindset and firm understanding of key marketing and financial concepts
- Keen attention to detail
- Ability to work as a team member in a fast paced environment
- Demonstrated ability to learn and apply new technologies and new analytics models/techniques as needed
- Think critically about analyses to ensure the conclusions make sense before sharing

Apply
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