Senior Staff Engineer Data Scientist - GenAI
@ Freshworks

Chennai, Tamil Nadu, India
$180,000
On Site
Full-time
Posted 24 days ago

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Job Details

About Freshworks

Freshworks makes it fast and easy for businesses to delight their customers and employees. With a global presence and a diverse suite of cloud-based software products, Freshworks serves over 65,000 companies worldwide.

About the Role

As a Senior Staff Engineer Data Scientist - GenAI, you will pioneer innovative applications of data science and machine learning in employee engagement and customer support. You will leverage GenAI techniques, analyze millions of streaming data points, and design intelligent systems that provide real-time insights through a conversational UI/UX.

Responsibilities

  • Collaborate with product and business teams to align GenAI initiatives.
  • Define key performance metrics to measure solution effectiveness.
  • Design intelligent systems using machine learning, statistics, and advanced mathematics.
  • Develop scalable systems for processing vast data volumes with Hadoop and Spark.
  • Collaborate with ML Engineers to build real-time ML/AI architectures.
  • Own end-to-end ML pipelines from data pre-processing to model validation.

Qualifications

The ideal candidate will have a Bachelor’s degree or higher in Computer Science, Statistics, Mathematics or a related field with a minimum of 10 years of industry experience. Strong programming skills, a solid foundation in machine learning mathematics, and a proven track record in deploying ML projects in production are essential. Experience with NLP, prompt engineering, LLMs, transformers, and time series analysis is highly advantageous. Proficiency with both SQL and NoSQL database systems is required.

Key skills/competency

Senior Staff Engineer Data Scientist - GenAI, GenAI, ML, Data Science, Spark, NLP, Distributed Systems, Time Series, Algorithms, Conversational UI/UX

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How to Get Hired at Freshworks

🎯 Tips for Getting Hired

  • Research Freshworks culture: Understand their mission and global impact.
  • Customize your resume: Emphasize GenAI and ML project successes.
  • Highlight key skills: Focus on data science, distributed systems, and NLP.
  • Prepare for technical questions: Review big data and ML algorithms.
  • Show collaboration: Demonstrate experience in cross-functional teams.

📝 Interview Preparation Advice

Technical Preparation

Review ML algorithms and statistical methods.
Practice Spark and Hadoop distributed processing.
Study time series anomaly detection techniques.
Understand conversational UI/UX design basics.

Behavioral Questions

Describe cross-team collaboration experiences.
Explain challenging project problem-solving methods.
Discuss handling tight deadlines effectively.
Share examples of innovative project leadership.

Frequently Asked Questions