Applied Data Scientist/ Data Science Engineer
sri techAustin (TX)
Applied Data Scientist/ Data Science Engineer
Posted 51 days ago
sri techAustin (TX)
SENIORITY
Lead
About the role
Job ID: SRJ_7996
Posted: 2025-12-04
Location: Austin, TX
Salary: USD 145-150 / Yearly (Full Time)
Employment Type: Full Time
Industry: Computer Software
Client: Wipro
Contact: Meghana Gorusu
Company: SRI Tech Solutions
Role: Applied Data Scientist/ Data Science Engineer
Location: Austin, TX (3 Days onsite/week)
Yrs. of experience: 8+ Yrs.
Interview Process:
We are only looking for profiles who can relocate to Austin, TX or local to Austin, TX.
Job Responsibilities:
You will be part of a team that innovates and collaborates with internal stakeholders to deliver world-class solutions with a customer first mentality. This group is passionate about the data science field and is motivated to find opportunity in, and develop solutions for, evolving challenges.
You will:
- Solve business and customer issues utilizing AI/ML - Mandatory
- Build prototypes and scalable AI/ML solutions that will be integrated into software products
- Collaborate with software engineers, business stakeholders and product owners in an Agile environment
- Have complete ownership of model outcomes and drive continuous improvement
Essential Requirements:
- Strong coding skills in Python and SQL - Mandatory
- Machine Learning knowledge (Deep learning, Information Retrieval (RAG), GenAI, Classification, Forecasting, Regression, etc. on large datasets) with experience in ML model deployment
- Ability to work with internal stakeholders to transfer business questions into quantitative problem statements
- Ability to effectively communicate data science progress to non-technical internal stakeholders
- Ability to lead a team of data scientists is a plus
- Experience with Big Data technologies and/or software development is a plus
Desirable Requirements:
Masters or PhD in a quantitative disciplineSRI Tech Solutions is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national origin or citizenship status or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria.
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