Senior Data Scientist with LLM Expertise (Bilingual, English & Spanish)

Position: Senior Data Scientist Bilingual (English & Spanish) with LLM Expertise
Location: Denver, CO
Duration: Long Term

About R Systems:
R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals.

We Are Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]!

We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.
Company Link:

Job Requirement:
The Sales & Competitive Intelligence department is committed to simplifying and unifying analytics consumption, empowering executives with actionable insights and data-driven strategies to maximize business impact.

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.

Additionally, as a bilingual (English & Spanish) expert, you will ensure seamless communication across global teams, enhancing collaboration and knowledge-sharing. Your expertise in Machine Learning Algorithms, Prompt Engineering and NLP-Driven solutions will be instrumental in refining multilingual 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
MAJOR DUTIES AND RESPONSIBILITIES

• Actively and consistently support all efforts to simplify and enhance the customer experience.
• Plan and lead end-to-end analytics life-cycle including:
  1. Requirements Gathering
  2. Problem Formulation
  3. Data Grooming & Exploration
  4. 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
• Communicate effectively in English and Spanish, enabling seamless global collaboration
  Required Skills/Abilities and Knowledge
• Fluent in both English & Spanish (written & spoken)
• Extensive expertise in LLMs (GPT, BERT, LLaMA) and multilingual NLP techniques
• Strong experience in Python, TensorFlow, PyTorch, and cloud platforms (AWS, Azure, Google Cloud Platform)
• 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

• 7 years experience with data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA or Engineer
• 7 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

Why Join R Systems?

• Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
• Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
• Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.
• Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
• E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
• Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.

If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!
R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.
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