Applied Data Scientist​/Data Science Engineer

Position: Applied Data Scientist/ Data Science Engineer
Job :
Austin, TXSalary: USD 145-150 / Yearly (Full Time)

Employment Type:

Full Time 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.