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Data Science Architect
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- Must already have the right to work
Please note, we cannot sponsor or transfer any visas, of any kind, at this time
What you’ll work on
Full postingAnalyze tabular, text and image data to find client pain points and deliver insights
Train and deploy off-the-shelf or custom models on GCP (Vertex AI, AutoML, BQML)
Lead technical solution design, feasibility and cost checks for client engagements
Serve as subject matter expert on pre-sales calls and RFPs
Mentor and coach junior team members on technical skills
From the employer’s posting
Dive deep into a wide range of data (tabular, text, image, etc.) to identify pain-points and deliver data-driven insights to our clients.
Leverage GCP services to train and deploy off-the-shelf (Vertex AI/AutoML/BQML) or custom models to address a client’s business problem.
Lead the design of technical solutions to meet the business needs of customers and clients.
Act as subject matter expert on pre-sales calls and requests for proposals.
Mentor and train junior team members and help them to develop their technical skills and knowledge.
What you’ll bring
All qualificationsCore experience
- 8+ years of experience with data science and 3+ years of relevant architectural experience.
- Knowledge of Data Warehouses (Snowflake, BigQuery, Redshift, Synapse).
- Experience with version control systems, such as Git/Github.
- Experience developing Machine Learning models and using Deep Learning frameworks like Tensorflow, Keras, PyTorch.
- Ability to communicate complex, technical processes to non-technical business stakeholders.
- Experience developing and maintaining solution design standards and best practices.
Preferred experience
- Python programming, R is a plus.
- Experience with Google Cloud Platform is a plus.
Qualification wording
8+ years of experience with data science and 3+ years of relevant architectural experience.
Knowledge of Data Warehouses (Snowflake, BigQuery, Redshift, Synapse).
Experience with version control systems, such as Git/Github.
Experience developing Machine Learning models and using Deep Learning frameworks like Tensorflow, Keras, PyTorch.
Ability to communicate complex, technical processes to non-technical business stakeholders.
Experience developing and maintaining solution design standards and best practices.
Python programming, R is a plus.
Experience with Google Cloud Platform is a plus.
Education & alternatives
- Ability to track changing business requirements and deliver quality solutions both independently and with teams of varying skill sets. - Bachelor’s degree in Data Science, Computer Science or similar. - Experience with Google Cloud Platform is a plus.
- Experience with Google Cloud Platform is a plus. - A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required. Please note, we cannot sponsor or transfer any visas, of any kind, at this time.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 27, 202668 days ago
- Recorded sightings
- 59
- Last seen by us
- Nov 3, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
66degrees is hiring
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down quickly
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
- BigQuery
- GCP
- Hive
- Redshift
- Snowflake
- Spark
- Dask
- Keras
- PySpark
- PyTorch
- TensorFlow
Where the posting names them
- 8+ years of experience with data science and 3+ years of relevant architectural experience. - Python programming, R is a plus. - SQL Experience.
- Python programming, R is a plus. - SQL Experience. - GenAI experience in one or all of Prompt Engineering, RAG, Fine-tuning is a must to have, Agentic AI is a plus to have.
- GenAI experience in one or all of Prompt Engineering, RAG, Fine-tuning is a must to have, Agentic AI is a plus to have. - Knowledge of Data Warehouses (Snowflake, BigQuery, Redshift, Synapse). - Experience with version control systems, such as Git/Github.
- Utilize analytical techniques to determine areas of opportunities to help meet business goals. - Leverage GCP services to train and deploy off-the-shelf (Vertex AI/AutoML/BQML) or custom models to address a client’s business problem. - Be a thought leader for your team on projects and contribute to key practice initiatives.
- Bachelor’s degree in Data Science, Computer Science or similar. - Experience with Google Cloud Platform is a plus. - A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required.
- Experience with version control systems, such as Git/Github. - Big Data processing framework experience (eg Spark/Pyspark, Dask, Hive). - Experience developing Machine Learning models and using Deep Learning frameworks like Tensorflow, Keras, PyTorch.
- Big Data processing framework experience (eg Spark/Pyspark, Dask, Hive). - Experience developing Machine Learning models and using Deep Learning frameworks like Tensorflow, Keras, PyTorch. - Ability to communicate complex, technical processes to non-technical business stakeholders.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has 66degrees posted this job before?
Yes. We’ve followed one other Data Science Architect job there since November 2025. It came down after 42 days.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Overview of 66degrees
66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.
At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
Overview of Role
As the ideal Data Science Architect, you are someone who can do a deep technical dive and communicate effectively with others. You love wrangling messy data into an elegant solution, and helping others understand the power of their data. This role is a chance to have a huge impact on how businesses operate and make decisions on a daily basis.
Responsibilities
- Dive deep into a wide range of data (tabular, text, image, etc.) to identify pain-points and deliver data-driven insights to our clients.
- Utilize analytical techniques to determine areas of opportunities to help meet business goals.
- Leverage GCP services to train and deploy off-the-shelf (Vertex AI/AutoML/BQML) or custom models to address a client’s business problem.
- Be a thought leader for your team on projects and contribute to key practice initiatives.
- Act as subject matter expert on pre-sales calls and requests for proposals.
- Drive successful delivery of analytics solutions.
- Create reports and presentations that showcase the value of your solution to our clients.
- Work with other members of the data science team to establish a center of excellence and create standard operating procedures, accelerators, and sales assets.
- Lead the design of technical solutions to meet the business needs of customers and clients. This includes working with stakeholders to understand their requirements, developing high-level and detailed solution designs, and ensuring that the solutions are technically feasible and cost-effective.
- Provide technical leadership to customer and client engagements, including working with the sales team to develop and deliver technical presentations and proposals, and working with the delivery team to implement and support the technical solutions.
- Mentor and train junior team members and help them to develop their technical skills and knowledge. This includes providing feedback, coaching, and guidance.
Qualifications
- 8+ years of experience with data science and 3+ years of relevant architectural experience.
- Python programming, R is a plus.
- SQL Experience.
- GenAI experience in one or all of Prompt Engineering, RAG, Fine-tuning is a must to have, Agentic AI is a plus to have.
- Knowledge of Data Warehouses (Snowflake, BigQuery, Redshift, Synapse).
- Experience with version control systems, such as Git/Github.
- Big Data processing framework experience (eg Spark/Pyspark, Dask, Hive).
- Experience developing Machine Learning models and using Deep Learning frameworks like Tensorflow, Keras, PyTorch.
- Ability to communicate complex, technical processes to non-technical business stakeholders.
- Experience developing and maintaining solution design standards and best practices.
- Ability to track changing business requirements and deliver quality solutions both independently and with teams of varying skill sets.
- Bachelor’s degree in Data Science, Computer Science or similar.
- Experience with Google Cloud Platform is a plus.
- A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required.
Please note, we cannot sponsor or transfer any visas, of any kind, at this time.
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
AI Transparency & Disclosure
As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights.
These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.
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- Pay
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- Location & working pattern
India
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- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.