PLEASE DO NOT APPLY FOR THIS JOB IF YOU ARE ONLY INTERESTED IN REMOTE OR HYBRID SCHEDULE. THIS ROLE WILL REQUIRE IN-OFFICE PRESENCE MONDAY THOUGH FRIDAY
Sr. Data Scientist
Duration/Status: Direct Hire/staff employee
Location: Arlington, VA region
Schedule: 5/40 schedule - all workdays at Client’s Offices (remote/hybrid schedule NOT AN OPTION)
Company: Power Company
Our Client is currently searching for a Sr. Data Scientist who’ll be responsible for developing and maintaining data analytics solutions and machine learning algorithms. The selected individual will serve as a mentor junior data scientists, further develop the data science lifecycle and best practices, and contribute to strategic discussions. This individual will report to the Director of Business Intelligence and is structured within IT under the Vice President of Applications. This role is located in Arlington, VA and will require the individual to work at our Client’s Offices Monday - Friday
Responsibilities:
•Develop solutions to business problems using the data science life cycle.
•Develop and maintain data analytics solutions and machine learning algorithms
•Develop comprehensive project plans for implementing data science projects including solution architectures, resourcing, and dependencies.
•Use predictive modeling and classification techniques to improve Natural Gas production efficiency and mitigate safety or downtime risks.
•Mine and analyze data from a data lake or data warehouse to drive optimization.
•Work with stakeholders to identify opportunities to leverage data science to drive business solutions.
•Understand where key decisions are needed and communicate options for solving business problems with stakeholders.
•Provide ETL requirements to data engineers to effectively curate files for data analytics.
•Document data science algorithms for maintainability.
•Work with IT leadership to further define the data science life cycle and enhance the data science technology stack and architecture.
•Design data architecture for future platform growth including data warehousing, machine learning, streaming analytics, and data visualization.
•Assist in testing, governance, data quality, training, and documentation efforts.
•Mentor junior data scientists and data analysts.
•Actively engage in business stakeholder requirement workshops to understand, interpret, and translate requirements into effective technical solutions.
Requirements
•Bachelor’s degree in Computer Science, Data Analytics, Engineering, Mathematics, Business, or related field of study.
•5+ Years of practical data science/data analytics experience.
•Knowledge in cloud data analytics solutions, managing, developing, and maintaining machine learning solutions.
•Experience with Azure infrastructure especially Azure Data Lake and Azure Data Factory.
•Experience using Databricks for machine learning algorithm development
•Fundamental skills in data processing languages such as SQL, Python, or Scala.
•Knowledge in building data science solutions using cloud data services.
•Experience in coding languages primarily PySpark, Python,and SQL.
•Strong presentation skills to effectively communicate results of analytics to stakeholders.
•Excellent interpersonal and communications skills, with strong critical thinking and attention to detail.
•Strong work ethic with ability to effectively prioritize, meet deadlines, adapt to changing priorities and business needs, and succeed in a fast-paced environment.
Preferred Qualifications
•Experience in agile development and sprint planning.
•Experience utilizing DevOps
•Experience working with streaming datasets/IoT.
•Strong technical writing skills.
Job Type: Full-time
Pay: $150,000.00 - $180,000.00 per year
Benefits:
Application Question(s):
•Do you experience in either of the following industries: Engineering, Construction, Utility, Power, Financial Services, Consulting Services, Defense Contractor, Industrial, or Manufacturing?
Education:
Experience:
•data science: 5 years (Required)
•cloud data analytics solutions: 5 years (Required)
•Azure Infrastructure, Azure Data Lake, or Azure Data Factory: 5 years (Required)
•SQL, Python, or Scala: 5 years (Required)
•PySpark, Python, and SQL: 6 years (Required)
Ability to Commute:
•Arlington, VA 22209 (Required)
Ability to Relocate:
•Arlington, VA 22209: Relocate before starting work (Required)
Work Location: In person