Job Title: Data Sciences Lead Analyst -Databricks (Remote )
Work Hours: Eastern Time Zone
DSI is searching for aData Sciences Lead for our client, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve - a community's most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare's biggest challenges.
Our client is aproduct led organization transforming the way data is sourced, designed, and used to help us scale seamlessly in face of incredible growth. We are looking for the Data Science Lead Analyst to be a thought leader in how to design, implement, manage and scale Databricks architecture for all internal use-cases. You will join a growing Data Analytics, Engineering & Integration team that supports the data needs for our Healthcare client and internal stakeholders, across all business functions.
Job Responsibilities:
- Work closely with engineers to deploy models to production both in batch and real-time while systematically tracking model performance.
- Build complex data sets from multiple data sources and write complex data flows using Databricks, SQL, Spark, and scripting languages (e.g., Python, R).
- Use data visualization tools (e.g., Tableau, PowerBI) to share ongoing insights.
- Present findings to both technical and non-technical audiences.
- Function as a subject matter expert on machine learning and predictive modeling
- Assist engagements with key business stakeholders in a discussion on business opportunities.
- Be an evangelist driving wider adoption of analytics across the enterprise.
- Generate performance metrics such as accuracy, sensitivity, specificity, positive predictive value, ROG, AUG, calibration, SHAP (Shapley Additive explanations).
- Lead large data science projects and deliver innovative technical solutions to solve problems and improve business outcomes.
- Design, develop, test, validate, and deploy Machine Learning (Client) /Statistical models to not only learn from our vast amounts of data but to build new products.
Requirements:
- 5+ years of experience in data analysis using Relational Databases, Databricks, SQL and Python.
- 5+ years of experience in leading complex data science projects from requirements through development to prod, end-to- end.
- Experience implementing Databricks / Spark solutions in a cloud environment (AWS or Azure) in an Agile framework.
- 2+ years of industry experience in Data Science/Machine Learning as a mid-senior data. scientist/technical lead developing Client models with business impact, along with 5+ years of hands-on, industry experience with data & languages such as e.g., SQL, Python, R, SAS.
- Experience with 2 or more additional modeling techniques (i.e., Natural Language Processing, Deep Learning, Time Series Analysis, Optimization algorithms) with one or more deep learning libraries (e.g., Tensor Flow, PyTorch, Gaffe) is a plus.
Additional Skills/Experience
- Computer Science Degree: Statistics, Informatics, or another quantitative field.
- SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with a variety of databases, Vertica a plus.
- Experience with Application and Data Analytics testing strategy and execution.
- Support the orchestration and implementation of Databricks Control Plane and Data Plane solutions/processes.
- Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data analytics needs.
- Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems.
- Work in collaboration with infrastructure and development teams to design, migrate, build, and maintain optimal data pipeline, data models (Logical/Physical) program code base, architecture, and data structures for the Healthcare Lakehouse and supporting components.
- Experience working with AWS cloud services: EC2, S3, RDS, Redshift and Glacier/Archival
- Experience with Data mining, Data Science, and Predictive analytics is a plus
About Diversified Systems
Founded in 1990, Diversified Systems is an award-winning Technology Services corporation providing all levels of IT project consulting services nationwide. DSI is headquartered in Columbus, Ohio with regional offices in the American Midwest and East Coast. We offer our consultants a number of flexible and competitive compensation benefit packages.
Diversified Systems is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations.
Diversity, Equity and Inclusion
DSI values authenticity and is committed to making sure our employees and partners are valued and respected. At DSI, we believe building a diverse culture is important because we know when people work together, we can achieve better results as a team. DSI realizes that everyone comes from various backgrounds. We celebrate these differences because our employees are our greatest asset as we strive to best meet the needs of those we serve. As part of our ongoing efforts, DSI is focused on advancing equality, diversity, and inclusivity by setting high standards to continually evolve our culture. This includes but is not limited to recruiting, community involvement, client delivery, and career development.