What are the responsibilities and job description for the Data Scientist/Machine Learning Engineer position at Glocomms?
We are working with a leading private equity firm based in the Houston, TX area.
Are you passionate about leveraging data to drive strategic decisions and optimize portfolio performance?
As a Senior Data Scientist, you will play a pivotal role in analyzing large datasets to uncover insights that guide investment strategies and operational improvements. You will collaborate with investment professionals and other stakeholders to deliver actionable recommendations and support data-centric initiatives across our portfolio.
Key Responsibilities
- Data Analysis : Collect, clean, and analyze large datasets from diverse sources to identify trends, patterns, and investment opportunities.
- End-to-End Machine Learning : Design, develop, and deploy end-to-end machine learning models, from data preprocessing and feature engineering to model training, evaluation, and integration into production systems.
- Model Development : Develop predictive models and algorithms to assess risks and forecast performance metrics for potential investments.
- Visualization : Create compelling data visualizations and dashboards to communicate findings effectively to both technical and non-technical stakeholders.
- Collaboration : Work closely with investment teams to understand their data needs and provide analytical support for deal sourcing, due diligence, and portfolio management.
- Reporting : Generate regular reports and presentations that summarize key insights, metrics, and recommendations to inform decision-making.
- Research : Stay updated on industry trends, tools, and methodologies to enhance the firm's analytical capabilities.
