Lead Data Scientist
Lead Data Scientist
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Job Description
About the role:
As a Lead Data Scientist with a focus on GenAI (Generative Artificial Intelligence) you will be at the forefront of pioneering innovative applications of data science and machine learning in employee engagement. In this role you will lead efforts to leverage GenAI techniques to address unique challenges within our company including building a state of the art conversational servicebot that should scale across a million MAU developing cutting edge production AI/ML solutions to complex Text2Action problems time series data to look for anomalous behavior. Imagine the next generation of IT services being offered not via dashboards or clicks or filters but in an interactive conversational manner backed by real time analysis of the entire streaming data into an operating center. This vision is what you would make into a reality. You will build algorithms that analyze these millions of streaming data points build a distributed scalable and highperformance system to serve the insights to the customer through a nextgen conversational UI/UX.
Responsibilities:
- Strategic Collaboration: Collaborate closely with product and business teams to gain a comprehensive understanding of the challenges and opportunities within the GenAI landscape aligning data science initiatives with the organizations objectives.
- Metric Definition: Define key performance metrics that accurately reflect the value delivered to endusers through GenAI solutions.
- Intelligent System Design: Apply deep expertise in machine learning statistics and advanced mathematics to conceptualize experiment and design intelligent systems powered by GenAI.
- Big Data Processing: Develop efficient systems capable of processing vast volumes of data demonstrating proficiency in distributed programming frameworks like Hadoop and Spark.
- ML/AI Architecture: Collaborate closely with ML Engineers to design scalable systems and model architectures that enable realtime ML/AI services.
- EndtoEnd ML Pipelines: Take ownership of ML pipelines from end to end encompassing data preprocessing model generation crossvalidation and feedback sharing.
Qualifications :
Qualifications:
- A Bachelors degree or higher in Computer Science Statistics Mathematics or a related field with a minimum of 7 years of relevant work experience.
- Strong problemsolving and programming skills coupled with a profound understanding of the mathematical foundations underpinning machine learning algorithms including probability statistics linear algebra calculus and optimization.
- Proven track record of successfully deploying ML projects in production systems with substantial individual contributions.
- Experience with natural language processing tasks utilizing prompt engineering LLMs transformers and knowledge graphs is highly advantageous.
- Proficiency in time series analysis NLP Distributed Systems largescale computing and Big Data technologies such as and Spark is a plus.
- A solid background in at least 2 of the following areas: Natural language processing statistical ML techniques graph algorithms constraint optimization signal processing (speech or vision) deep learning and distributed systems.
- Proficiency with database systems and schema design encompassing both SQL and NoSQL databases.
If you are a forwardthinking data scientist with a passion for pushing the boundaries of GenAI and envision yourself driving the transformation of IT services through interactive conversational experiences we encourage you to apply and join our dynamic team. Your expertise will play a pivotal role in turning our GenAI vision into a reality.
Additional Information :
All your information will be kept confidential according to EEO guidelines.
At Freshworks we are creating a global workplace that enables everyone to find their true potential purpose and passion irrespective of their background gender race sexual orientation religion and ethnicity. We are committed to providing equal opportunity for all and believe that diversity in the workplace creates a more vibrant richer work environment that advances the goals of our employees communities and the business.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
