Senior Data Scientist
Logic20/20 Inc.About the role
Company Description
Logic20/20 invests in being a “Best Company to Work For,” where talented people come together to deliver exceptional solutions. We bring clarity, insights, and optimization to enterprise organizations spanning technology, telecommunications, utilities, healthcare, and more.
We thrive as One Team, built on values:
- We Foster a Culture of We by prioritizing connection and collaboration.
- We Drive toward Excellence by investing in professional growth and cultivating thought leadership.
- We Act with Integrity by doing the right thing and bringing our best selves to the table.
To make it all possible, we’ve created programs, resources, and benefits that promote connection and help you evolve your career.
Job Description
What We Offer Our Consultants
- Experience working with both large enterprise and mid-sized clients
- Progressive responsibilities that encourage ownership and design
- Opportunities to learn and gain experience in complementary skills such as meeting facilitation, data management, project management, and data modeling
- Company culture that celebrates our values—“Foster the culture of we”, “Act with integrity” and “Drive towards excellence”—while having fun at work
- Training and certification opportunities to support your career now and after Logic20/20
- Various opportunities to give back to the community through company-sponsored events
What You'll Do
- Research and design statistical models to answer target questions, optimize processes and outcomes, and inform decision-making while leveraging industry best practices
- Build and deploy models and applications across a variety of industries
- Develop custom solutions to unique business problems using modern toolsets and platforms such as Python, SQL, AWS, and Azure
- Grasp opportunities to broaden your scope into the realms of data engineering, data visualization, and cloud engineering
- Serve as a trusted advisor and subject matter expert to clients by taking a hands-on approach in maturing the client's data science capabilities to create value within their business
- Participate in internal initiatives, such as interview support, client brainstorming, and POC development, to foster a culture of growth and collaboration
Qualifications
Must Have:
- Knowledge of statistics and machine learning fundamentals, techniques, and best practices
- 5+ years of experience building statistical and machine learning models
- Extensive experience creating modular and extensible code and building applications in Python (3+ years)
- Strong experience with Natural Language Processing (NLP)
- Strong experience with LLMs
- Demonstrated knowledge of SQL (3+ years) and experience creating advanced queries in a high-impact role
- Experience building data pipelines
- Degree in any discipline and either a degree or certification program specifically in machine learning, statistics, computer science, data mining, math, or any quantitative discipline
- Experience presenting and communicating results to stakeholders
- Ability to handle ambiguity, gather requirements, and manage your own workstream
- Ability to own end-to-end data science products and experience with the complete machine learning product lifecycle
Ideal, But Not Required
- Knowledge of cloud technologies
- AzureML (highly preferred)
- AWS SageMaker
- Databricks Notebook
- Power BI
- Azure Data Factory
- Knowledge of R
- CI/CD, IAC, and production experience
- Experience in utilities industry, telecom, high tech, financial services, or healthcare
- Experience in GIS analysis
- Experience working in an Agile development environment
Additional Information
All your information will be kept confidential according to EEO guidelines.
Compensation range: $110,000 - $148,000 annually, flexible depending on experience
About Logic20/20
To learn more about Logic20/20, please visit: https://www.logic2020.com/careers/life-at-logic
Core Values
At Logic20/20, we are guided by three core values: Drive toward Excellence, Act with Integrity & Foster a Culture of We. These values were generated and agreed upon by our employees—and they help us pursue our goal of being one of the best companies to work for and to work wit
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