MATRIX Resources is now “Motion Recruitment” and proud to combine job boards to bring the talent community even more expansive market opportunities.

Founding Data Science Engineer - Startup w/ Equity

Reston, VA

Hybrid

Full Time

$120k - $140k

Our client is DC-based innovative AI-powered cloud management company dedicated to revolutionizing how businesses optimize and manage their cloud infrastructure. They provide cutting-edge solutions that leverage advanced artificial intelligence and data science techniques to streamline cloud operations, enhance performance, and reduce costs for clients. As a rapidly growing startup, they are seeking a talented Founding Data Science Engineer to join their dynamic team and play a pivotal role in shaping the future of cloud management.

As a Founding Data Science Engineer, you will have the unique opportunity to influence the development of our AI-powered cloud management platform from its inception. You will be responsible for designing, implementing, and optimizing data-driven algorithms and models to drive actionable insights and recommendations for our clients. This role requires a strong foundation in data science, machine learning, cloud technologies, and a passion for solving complex technical challenges.

The position is currently remote, with intentions of transitioning to hybrid (2-3 days on-site in Reston, VA) after office construction is complete. 

Job Responsibilities:
  • Collaborate closely with cross-functional teams to define and prioritize data science initiatives aligned with business objectives.
  • Design and develop advanced machine learning algorithms and models to analyze large-scale cloud data and extract valuable insights.
  • Implement scalable data pipelines and processing workflows to ingest, transform, and store diverse data sources from cloud environments.
  • Conduct exploratory data analysis and feature engineering to identify patterns, trends, and anomalies in cloud infrastructure and usage data.
  • Build predictive models and optimization algorithms to automate resource provisioning, capacity planning, and cost optimization for cloud deployments.
  • Evaluate and validate the performance of data science models through rigorous experimentation and testing in real-world cloud environments.
  • Stay current with emerging trends and technologies in data science, machine learning, and cloud computing to drive innovation and continuous improvement.
Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • Proven experience (3+ years) working as a data scientist, machine learning engineer, or related role, preferably in the cloud computing domain.
  • Strong proficiency in Python and experience with data science libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.
  • Solid understanding of statistical analysis, machine learning algorithms, and data mining techniques.
  • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, including familiarity with cloud services, APIs, and infrastructure components.
  • Experience with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed computing frameworks is a plus.
  • Strong communication and collaboration skills, with the ability to work effectively in a fast-paced, startup environment.
The Offer:
  • Competetive salary plus up to .8% equity
  • Health benefits, including dental and vision
  • Paid time off (PTO) and sick leave
**Applicants must be currently authorized to work in the US on a full-time basis now and in the future.**

#LI-LT2

Posted by: Lindsay Troyer