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Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformHadoopPandasPythonPyTorchScikit-LearnSparkSQLTableau
About the role
Key responsibilities & impact- Design, deploy, fine-tune, and evaluate large language models (LLMs); develop effective prompting strategies to optimize performance for various business use cases.
- Improve data quality by cleaning the company’s data and sourcing information from new data sources.
- Use machine learning/ deep learning to enhance and automate processes in Lessen proprietary tools.
- Translate business problems into scalable AI/ML solutions, particularly using LLMs.
- Collaborate cross-functionally with teams to develop, refine, and scale data-driven procedures and workflows.
- Foster a positive team environment.
- Ensure confidentiality and integrity of internal and external data.
- Perform ad-hoc projects and other duties as assigned.
Requirements
What you’ll need- PhD or Master’s degree in Math, Physics, Statistics, Computer Science, or other related fields
- 1-3 years of experience as a data scientist, working closely within a business
- Strong mathematical and statistical skills
- Programming Languages: SQL, Python
- Understanding of ETL tools and database architecture
- Familiarity with pytorch, pandas and cloud platform like AWS, Azure and GCP
- Prompt engineering experience
- Experience using a machine learning framework e.g. scikit-learn, pytorch or similar
- Experience with a statistical software (e.g. R, SAS)
- Experience with natural language processing
- Advanced knowledge of Data Warehousing and BI best practices
- Experience with big data tools such as Spark, Hadoop, etc.
- Experience with Tableau or Superset
Benefits
Comp & perks- Competitive compensation
- Health, Dental, Vision, Life, Disability options
- 401K retirement savings plan
- Paid vacation, federal and floating holidays
- Maternity/Paternity Pay
- Career advancement opportunities
- All the tools you'll need to be successful
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
large language modelsmachine learningdeep learningSQLPythonETL toolspytorchpandasnatural language processingbig data tools
Soft Skills
collaborationteam environmentdata-driven proceduresproblem-solving
Certifications
PhDMaster’s degree
