Transform Business Outcomes with Advanced Data Science Solutions
2 days ago
As a Senior Data Scientist, you will play a critical role in designing and delivering tailored AI/ML solutions that drive measurable business outcomes. This role combines deep ML expertise with exceptional client relationship skills to architect end-to-end ML solutions.
Key Responsibilities:- Serve as primary technical contact for enterprise customers, building trusted relationships with stakeholders from technical teams to executive levels.
- Architect ML solutions tailored to customer use cases, leveraging deep learning, NLP, traditional ML algorithms, and generative AI.
- Lead proof-of-concepts, pilot deployments, and production implementations while ensuring seamless integration with customer systems.
- Conduct data assessments, provide ML strategy recommendations, and guide customers through model lifecycle management.
- Mentor customer teams and build internal data science capabilities through training and best practices sharing.
- Gather customer feedback to enhance existing solutions and identify new opportunities.
Required Skills and Qualifications:
Education & Experience:- Master's in Data Science, Computer Science, Statistics, or a related quantitative field.
- 5+ years hands-on data science experience with 2+ years in customer-facing or consulting roles.
- Proven track record delivering ML solutions in production environments.
- Programming: Advanced Python/R, strong SQL capabilities.
- ML Expertise: Deep learning, NLP, traditional ML algorithms, and generative AI.
- Frameworks: TensorFlow, PyTorch, scikit-learn, cloud ML services.
- Tools: MLOps platforms, data visualization tools, big data technologies.
- Exceptional communication and presentation abilities for technical and non-technical audiences.
- Strong project management and stakeholder relationship skills.
- Customer-centric problem-solving mindset.
- Ability to translate business requirements into technical solutions.
We offer flexible work arrangements and 100% remote work opportunity. If you have the required skills and qualifications, we encourage you to apply.
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