7 дней назад
Lead Data Scientist (AI)
133 400 - 200 100$
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Описание вакансии
Текст:
TL;DR
Lead Data Scientist (AI/ML): Building advanced statistical, AI, and machine learning models for high-value analytics use cases at a regulated U.S. utility with an accent on data mining, predictive modeling, and translating complex data into strategic insights. Focus on leading solutions from ideation to delivery, communicating findings to senior leadership, and coaching less experienced data professionals.
Location: Columbus, Ohio; hybrid schedule with three days onsite
Salary: $133,400–$200,100 annually, plus a 10% annual bonus
Company
is a fully regulated U.S. utility company serving millions of customers across six states and developing advanced analytics capabilities to support high-value business decisions.
What you will do
- Translate complex data into strategic insights and actionable recommendations.
- Explore, mine, and analyze data for business and organizational use cases.
- Develop advanced AI, machine learning, and statistical models.
- Lead recommendations and analytics solutions from ideation through delivery.
- Present findings to data scientists, business stakeholders, and senior leaders.
- Coach, review, and delegate work to less experienced professionals while collaborating with business clients.
Requirements
- Bachelor’s degree.
- 7+ years of experience as a data scientist, data analyst, or in a similar role.
- 7+ years of experience coding with SQL, Python, R, Spark, or similar statistical and database languages.
- 7+ years of experience with machine learning, including NLP, image recognition, boosted trees, or related methods.
- Strong knowledge of cloud platform tools and techniques.
- Must be legally authorized to work in the United States and must not require employer sponsorship now or in the future.
Nice to have
- Master’s degree or advanced degree in statistics, data science, physics, mathematics, engineering, computer science, or a comparable discipline.
Culture & Benefits
- Collaborative workplace focused on inclusion, professional development, and innovation.
- Opportunity to support high-value analytics initiatives within a newly established data science organization.
- Employees may support emergency response efforts outside normal hours during periods such as storm season.
- Safety, accessibility, veteran inclusion, and equal employment opportunity are organizational priorities.
- participates in the U.S. Department of Homeland Security’s E-Verify program.
Hiring process
- Complete a short open-ended questionnaire about work experience, taking approximately 10–15 minutes.
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