HealthScape Advisors, a Chartis Company, is looking to mature its analytics expertise by developing cutting-edge capabilities and creating actionable insights for healthcare clients.
Requirements
- Strong programming experience developing and delivering analytics with languages and tools such as SQL, Python, Snowpark, dbt, Jupyter Notebooks, R, and Git.
- Previous experience in the application of advanced analytic techniques and the development, training, testing, and deployment of data science models leveraging standard practices and version control tools (e.g., GitHub, BitBucket).
- Previous experience with cloud data warehouse technologies such as Snowflake, Databricks, Redshift, or Big Query.
- Visualization development expertise (e.g., Tableau, PowerBI).
- Strong analytic skills, including ability to apply quantitative and statistical analysis techniques, such as hypothesis testing, clustering, regression modeling, random forest, and gradient boosting techniques, among others, to unstructured problems.
- Experience with Snowflake is greatly preferred.
- Experience with data science concepts and modeling techniques, including linear regression, Tree-based methods, K-Nearest Neighbors (KNN), ensemble methods, and clustering.
Responsibilities
- Support clients through consulting engagements in key analytic activities such as defining data needs, evaluating data quality, designing and testing models and algorithms, and sharing analysis outputs.
- Collect, parse, manage, analyze, and visualize large and disparate datasets using existing analytic infrastructure to identify trends and discover opportunities for change.
- Participate in the design and development of data-driven solutions, leveraging appropriate modeling techniques informed by a thorough understanding of industry dynamics, client challenges, and underlying hypotheses.
- Participate in concept design, requirements definition, model development, testing, and deployment of data science solutions into production.
- Perform validation of the source data and necessary data wrangling to ensure the quality and alignment of the data as required to meet the data science project goals.
- Apply knowledge of data science concepts and modeling techniques, including linear regression, Tree-based methods, K-Nearest Neighbors (KNN), ensemble methods, and clustering, to develop and deploy machine learning solutions independently or with minimal oversight.
- Support the ongoing development of new technologies and data science capabilities, including Generative-AI driven Natural Language Processing (NLP) and the creation of AI agents and chatbots to deliver impactful, data-driven healthcare solutions.
Other
- 5-8 years of data science experience in healthcare or related industry.
- Bachelor’s Degree required in a quantitative or technology-related field of study (e.g., Business, Mathematics, Economics, Statistics, Data Science, Analytics, or Informatics).
- Strong interpersonal and communication skills – possessing the ability to communicate and deliver complex analytics information to clients and executive audiences.
- Enthusiasm to navigate and continue learning in an entrepreneurial environment.
- Ability to work in a diverse workforce and value and celebrate the uniqueness of individuals and the different perspectives they provide.
