Data Scientist
1299 Pennsylvania Avenue Washington, DC 20004 US
Job Description
Location: NYC OR Washington DC- 3 Days in office 9 am - 6 pm
Key Responsibilities:
- Design and Build Data Pipelines: Construct and manage efficient data pipelines that integrate various internal and external data sources to ensure smooth data flow.
- Data Storage and Reporting Solutions: Develop and optimize data storage systems and warehouses that facilitate robust analytics and support reporting needs.
- Lead Machine Learning Initiatives: Oversee the creation, refinement, and production deployment of machine learning models, with a focus on advanced AI applications.
- Internal Product Development: Design and maintain internal tools that cater to both operational teams and external client-facing use cases.
- Cross-Team Collaboration: Partner with developers, business analysts, and domain experts to create practical, data-driven solutions.
- Cloud Infrastructure and Scalability: Architect cloud-based systems that support scalable and reliable machine learning workflows and data processes.
- Translate Business Needs into Analytical Solutions: Work with business leaders to convert complex challenges into structured, actionable technical plans.
- Adhere to Coding Best Practices: Contribute to team-wide initiatives to ensure high standards for code quality, version control, and project documentation.
- Educational Qualifications: A degree in a related field (e.g., Computer Science, Engineering) along with 3-5 years of professional experience in a relevant domain.
- Solid Data Engineering Expertise: Deep understanding of ETL processes, database design, automation of data pipelines, and optimization techniques.
- Hands-on Experience in ML: Practical experience with machine learning techniques, including model training, testing, and deployment in production environments.
- Proficiency with Modern Data Warehousing Tools: Familiarity with advanced tools like Snowflake, BigQuery, or Redshift for managing data warehouses.
- Technical Expertise: Strong skills in Python, SQL, and cloud services (such as AWS or GCP) along with experience in AI/ML model workflows.
- Effective Communicator: Ability to bridge technical gaps and communicate complex ideas to non-technical stakeholders clearly and effectively.
- Product-Oriented Mindset: Strong ability to think both technically and with a business focus, understanding how to build solutions that drive real-world value.
- Collaboration and Self-Management: Capable of managing multiple projects simultaneously while working efficiently across distributed teams.
- Curiosity and Problem-Solving: Motivated by real-world challenges and dedicated to finding innovative solutions to business problems.
The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.
Meet Your Recruiter
Kenny Pilanski
Regional Director
Kenny is a graduate from Quinnipiac University where he received his degree in Industrial Organizational Psychology. He has been with TPG since November 2015 and initially got into recruiting through a friend from college and never looked back. When he is not in the office you can find him fishing, golfing, or hanging out with his girlfriend and dog Foxy.