Data Scientist
Remote-United States, United States
Overview
Are you a Data Scientist wizard eager to wield your expertise for the betterment of millions? If the answer is yes, an exciting opportunity may be on the horizon for you.
TISTA associates enjoy above Industry Healthcare Benefits, Remote Working Options, Paid Time Off, Training/Certification opportunities, Healthcare Savings Account & Flexible Savings Account, Paid Life Insurance, Short-term & Long-term Disability, 401K Match, Tuition Reimbursement, Employee Assistance Program, Paid Holidays, Military Leave, and much more!
Responsibilities
- Evaluate business needs through in-depth conversations with business users to understand the domain and apply data science for insights
- Design, develop and fine-tune state-of-the-art Large Language Models that can assist with real-world scenarios within Federal IT
- Apply statistical analysis and machine learning techniques against multi-modal inputs
- Cloud-based solution deployments, ensuring scalability and security. Collaborate with engineers & developers to integrate solutions with APIs and microservices
- Drive the adoption of best practices in continuous integration and delivery (CI/CD) for AI systems
- Conduct research and implement cutting-edge techniques in NLP, machine learning, and AI ethics
- Present key findings to leadership to evaluate business impact, in non-technical terms
Qualifications
- An expert in advanced analytics, passionate about turning data into impactful insights, and driving creative data science solutions
Prior experience in developing, deploying and maintaining machine learning or deep learning solutions at scale.
Python proficiency - Strong experience with Python is essential for scripting, data manipulation and interacting with APIs
- Extensive experience in building and deploying LLMs Like LLMS
- Understanding of vector embeddings and experience working with Vector databases
- Knowledge of transformer architecture and generative AI concepts including RAG architecture and how they integrate LLMs
- Profound knowledge of statistical models and machine learning algorithms. Proficiency in cloud services like AWS, Azure, or GCP
- knowledge of containerization technologies such as Docker and Kubernetes
- Strong programming skills in Python, Java, or similar languages. (5+ years)
Experience with AI/ML frameworks (PyTorch, TensorFlow, Huggingface-transformers)
- The ability to pass a Tier 2/Modest Background Investigation
Education:
Minimum of Master’s in computer science, Artificial Intelligence or related field
Minimum 3 years of hands-on experience
Clearance:
- The ability to pass a Tier 2/Moderate Background Investigation
Location:
- Remote, USA
Pay Range:
- The pay for this position ranges from $110,000 to $130,000
- The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location.
- Also, certain positions are eligible for additional forms of compensation, such as bonuses.
- TISTA associates are eligible to participate in our comprehensive benefits plan! More information can be found here: https://tistatech.com/working-at-tista/
Job Profile
Must pass background investigation
Benefits/Perks401(k) match Above industry healthcare benefits Employee Assistance Program Healthcare Benefits Military leave Paid holidays Paid Life insurance Paid Time Off Remote working options Remote work options Training/certification opportunities Training opportunities Tuition reimbursement
Tasks- Apply statistical analysis
- Collaborate with engineers
- Conduct research
- Conduct research in AI
- Design and develop large language models
- Drive CI/CD best practices
- Evaluate business needs
AI Ai ethics Analytics APIs AWS Azure CI/CD Cloud Cloud Services Containerization Continuous Integration Databases Data Science Deep Learning Docker GCP Generative AI HuggingFace Java Kubernetes Leadership Machine Learning Microservices NLP Python PyTorch Scripting Statistical analysis TensorFlow Transformer Architecture Vector databases
Experience5 years
EducationArtificial Intelligence Computer Science Master's Related Field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9