

Flexon Technologies Inc.
Sr. Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Scientist in Cupertino, CA, on a long-term contract, requiring 8+ years of experience, advanced Python skills, and expertise in ML and Generative AI. Ex-Apple employees preferred. Day 1 onsite work is mandatory.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
April 23, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Cupertino, CA
-
π§ - Skills detailed
#Scala #Classification #Data Science #SciPy #Deployment #ML (Machine Learning) #Regression #Programming #Python #AI (Artificial Intelligence) #NumPy #"ETL (Extract #Transform #Load)" #Model Deployment #Pandas #Libraries #Data Extraction
Role description
Hi
Hope you're doing great,
This is Nishanth from Flexon Technologies, and I have a suitable role for you so please go through it and let me know your thoughts.
Job Title: Sr. Data Scientist (Ex-Apple)
Location: Cupertino, CA (Day1 Onsite)
Duration: Long Term Contract
Need Ex-Apple Employee.
Job Description:
About the Role:
We are looking for a Senior Data Scientist to join our team and play a pivotal role in designing, building, and deploying scalable data solutions, responsible for the end-to-end data science lifecycleβfrom initial problem definition and data extraction to model deployment. The ideal candidate is as comfortable writing production-level code as they are applying advanced statistical methods and modern Generative AI techniques to solve complex business problems.
Experience Required:
β’ Experience: 8+ years of relevant industry experience working on complex, data-driven projects.
β’ Technical Stack: Advanced proficiency in Python and industry-standard libraries (Pandas, NumPy, SciPy, Scikit-Learn, etc.).
β’ Engineering Mindset: Strong understanding of OOP and software engineering principles in a production environment.
β’ Model Expertise: Proven experience in both traditional ML algorithms (Regression/Classification) and modern Generative AI technologies (LLMs, RAG).
β’ Communication: Ability to distill technical findings into clear, impactful presentations for stakeholders.
Key Responsibilities:
β’ Lead data projects through every stage of the lifecycle: definition, collection, preparation, modeling, and deployment.
β’ Architecture & Engineering: Apply rigorous Object-Oriented Programming (OOP) concepts and scalable software design principles to ensure code quality and system performance.
β’ AI & Machine Learning: Design and implement robust models, including traditional classification and regression algorithms, as well as cutting-edge GenAI, LLMs, and RAG (Retrieval-Augmented Generation) pipelines.
β’ Drive best practices in model development and evaluation to ensure accuracy and impact.
Hi
Hope you're doing great,
This is Nishanth from Flexon Technologies, and I have a suitable role for you so please go through it and let me know your thoughts.
Job Title: Sr. Data Scientist (Ex-Apple)
Location: Cupertino, CA (Day1 Onsite)
Duration: Long Term Contract
Need Ex-Apple Employee.
Job Description:
About the Role:
We are looking for a Senior Data Scientist to join our team and play a pivotal role in designing, building, and deploying scalable data solutions, responsible for the end-to-end data science lifecycleβfrom initial problem definition and data extraction to model deployment. The ideal candidate is as comfortable writing production-level code as they are applying advanced statistical methods and modern Generative AI techniques to solve complex business problems.
Experience Required:
β’ Experience: 8+ years of relevant industry experience working on complex, data-driven projects.
β’ Technical Stack: Advanced proficiency in Python and industry-standard libraries (Pandas, NumPy, SciPy, Scikit-Learn, etc.).
β’ Engineering Mindset: Strong understanding of OOP and software engineering principles in a production environment.
β’ Model Expertise: Proven experience in both traditional ML algorithms (Regression/Classification) and modern Generative AI technologies (LLMs, RAG).
β’ Communication: Ability to distill technical findings into clear, impactful presentations for stakeholders.
Key Responsibilities:
β’ Lead data projects through every stage of the lifecycle: definition, collection, preparation, modeling, and deployment.
β’ Architecture & Engineering: Apply rigorous Object-Oriented Programming (OOP) concepts and scalable software design principles to ensure code quality and system performance.
β’ AI & Machine Learning: Design and implement robust models, including traditional classification and regression algorithms, as well as cutting-edge GenAI, LLMs, and RAG (Retrieval-Augmented Generation) pipelines.
β’ Drive best practices in model development and evaluation to ensure accuracy and impact.





