Founding Data Science Engineer - Startup w/ Equity
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.
- 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.
- Competetive salary plus up to .8% equity
- Health benefits, including dental and vision
- Paid time off (PTO) and sick leave