Data Scientist at 66degrees

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Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

0.0

Posted On

05 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Python, SQL, Shell Scripting, Data Engineering, Generative AI, Statistics, Modeling, MLOps, Google Cloud, Kubernetes, Looker, Graph Data Science, Communication, Problem Solving, Team Collaboration

Industry

Business Consulting and Services

Description

Overview of 66degrees 66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work. At 66degrees, we believe in embracing the challenge 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 Scientist 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. As the ideal AI/ML Engineer, 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 AI/ML team to establish a center of excellence and create standard operating procedures, accelerators, and sales assets. Qualifications: Bachelor’s degree in Data Science, Computer Science or similar. 3-6+ years of experience with data science. Python (TensorFlow, Keras, SciKit-Learn, PyTorch), SQL, Shell Scripting experience. Data Engineering experience in Data Cleansing, ETL/ELT Pipelines, Vector DBs, Relational DBs, NoSQL DBs, Warehouses Generative AI experience in LLMs, Prompt Engineering, Tuning, RAG, LangChain Statistics & Modeling experience with Time-Series, Clustering, Regression, Classification, Recommendation Systems, Deep Learning, Ensemble Modeling, Reinforcement Learning, EDA, Data Visualization, Feature Engineering, Model Evaluation, Responsible AI MLOps experience with GIT, building CI/CD Pipelines, API Development, Docker, Deployment, Retraining Pipelines, Monitoring, Model Versioning. Google Cloud Experience in the following tools: Vertex AI, Document AI, Cloud Run, Cloud Functions, BigQuery, Pub/Sub, Cloud Storage. Kubernetes, Looker, Graph Data Science experience is a plus. Ability to communicate complex, technical processes to non-technical business stakeholders. Ability to track changing business requirements and deliver quality solutions both independently and with teams of varying skill sets. 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.

Responsibilities

The Data Scientist will analyze various data types to identify pain points and deliver insights to clients. They will also create reports and presentations to showcase the value of their solutions.