Jobs / Con***
Data Scientist, IT
Con*** · Baltimore, MD, United States
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Baltimore, MD, United States81,600-122,400 USD/yearlyOnsite
Remuneration
81,600-122,400 USD/yearly
Location
Baltimore, MD, United States
Visa sponsorship
Sponsors visa
Job summary
Overview: Who We Are As the largest private-sector power producer in the world and the nation's largest producer of clean and reliable energy, Constellation is focused on our purpose: lighting the way to a brilliant tomorrow for all. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute.
Benefits
And rewards to help our employees thrive professionally and personally.We provide competitive compensation and a wide-range ofThat support both employees and their families, helping them prepare for the futIncluding robust wellbeing programs; disability and life insurancePaid time off for vacation, holidays, and sick days; and much more.Expected salary range of $91,800 to $102,000, varies based on experience, alongPackage that includes bonus and 401(k).
Qualifications
- Our culture and employee experience make it clear: We are powered by passion and purpose.
- Bachelor's degree in a quantitative discipline such as Data Science, Data Analytics, Applied Mathematics, Statistics, Computer Science, Operations Research, or a related field and 2-years of relevant experience.
- OR Master's Degree in quantitative discipline
- Knowledge in at least two of the following areas: machine learning, artificial intelligence, statistical modeling, data mining, information retrieval, or data visualization
- Technical Knowledge: Proven experience in developing and deploying predictive analytics projects using one or more leading languages (Python, R, Scala, etc.).
- Strong communication
- Preferred
- Strong analytical
Responsibilities
- Primary Purpose of Position
- Closely collaborate with various internal stakeholders, information architects, data engineers, project/program managers, and other teams to turn data into critical information to inform decision making.
- This requires understanding business needs, providing and receiving regular feedback, and planning the proper transfer of developed solutions.
- Mine big and small data for insights, using advanced statistic and machine learning methods.
- Validate findings with the business by sharing analysis outputs in a way that can be understood by business stakeholders.
- Demonstrate commitment to continuous learning and professional development in technical subject matter.
- Primary
- and Accountabilities
- Develop key predictive models that lead to delivering reduced overall annual expense for nuclear, performance improvement, and optimize specific performance criteria.
- Access and analyze data sourced from various Company systems of record.
- Support the development of strategic business and program implementation plans.
- Access and enrich data warehouses across multiple Company departments.
Skills
CommunicationNegotiation
Degrees
AssociateBachelorDegreeMaster
Industry
EnergyInsuranceLogisticsMediaOil-gas
Company size
Smb