Data Scientist
Role details
Job location
Tech stack
Job description
The team is looking for a rate "T-Shaped" data professional who combines elite business communication with hands on technical execution. This role requires not just a builder, but a problem solver who can navigate corporate bureaucracy and sub-optimal tech stacks to deliver executive ready solutions. You will be responsible for end to end delivery from interpreting ambiguous executive requests to automating the final data platform., As a Senior Data Scientist, you will lead Advanced AI and NLP initiatives, leveraging cutting-edge techniques in Large Language Models (LLMs) to solve complex business challenges and optimize decision-making processes across global markets. You will collaborate with cross-functional teams to integrate AI-driven automation into business intelligence workflows, proactively identifying opportunities for innovation. Your expertise in Machine Learning Algorithms, Prompt Engineering and NLP-Driven solutions will be instrumental in refining AI applications. This position demands proven leadership in AI projects, technical expertise in fine-tuning LLMs and the ability to mentor Junior Data Scientists while driving innovations that align with business needs, * Actively and consistently support all efforts to simplify and enhance the customer experience.
- Plan and lead end-to-end analytics life-cycle including:
- Requirements Gathering
- Problem Formulation
- Data Grooming & Exploration
- Model Prototyping, Validation and Production Deployment
- Develop and fine-tune LLM-based AI solutions, optimizing multilingual applications
- Utilize prompt engineering techniques to refine AI interactions and improve model efficiency
- Lead exploratory analyses to establish links across datasets and find valuable data correlations
- Apply NLP modeling techniques (e.g., entity recognition, sentiment analysis, text generation)
- Guide junior data scientists, fostering innovation and collaboration
- Present findings, suggested actions and strategic recommendations to executives and stakeholders
- Ensure model scalability, adaptability and modular architecture across AI projects
Requirements
- Strong experience in SQL, Python, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, GCP)
- Extensive expertise in LLMs and prompt engineering; able to articulate the risks, limitations as well as build creative solutions outside the traditional scope/limitations of the technologies. (GPT, BERT, LLaMA)
- Ability to fine-tune and optimize AI models for specialized applications
- Expertise in data manipulation, machine learning algorithms, and statistical modeling
- Experience with Big Data tools (Hadoop, Spark) and ETL processes
- Solid understanding of data architecture, data warehouses, and streaming services
- Proven track record of leading AI-driven automation and NLP research projects
- Strong analytical skills with command over advanced mathematical concepts (probability, statistics, PDEs, calculus)
Required Education Bachelor's Degree in Computer Science, Statistics, Operations Research and/or equivalent combination of education and experience
Required Related Work Experience and Number of Years
- 5 years experience with data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA or Engineer
- 5 years experience in SQL/R/Python/SAS Programming
PREFERRED QUALIFICATIONS
Preferred Skills/Abilities and Knowledge
- Experience in sales, marketing, or competitive intelligence analytics
- Background in telecommunications industry or other consumer-based sectors
- Experience with Teradata (SQL, UDFs, explain plans, performance tuning)
- Operations-research experience focused on large labor operations (field ops, technical support, and sales)
- Knowledge of Hadoop, Spark, HIVE, SAS, SPSS, Alteryx, Linux
- Familiarity with text analysis, text mining, and AI-driven automation tools
- Publications or research contributions in LLM and NLP applications
Preferred Education Master's Degree in Computer Science, Machine Learning or related field