Manager - Data Science

Our employees are a true differentiator for Freshworks. We continue to grow at a rapid pace and are on the lookout for a Manager Data Scientist an Individual contributor to join our growing Go-To-Market (GTM) Strategy & Operations team. The StratOps Data Insights & AI team is a new function that empowers Go-To-Market (GTM), Corporate Strategy, Finance, Marketing, and Executive Management to leverage predictive analytics and artificial intelligence (AI) to uncover actionable insights, develop ML models to guide GTM and other business teams, and gain predictive insights into the health and performance of the business.The primary objective of this team is to strive to help our customers achieve their goals while creating “wow” moments of engagement. We have a lot of fun doing that as well.

This role will play a critical role in supporting our marketing, sales, finance, corporate strategy, executive stakeholders, and other support functions by leveraging data, research, and artificial intelligence to drive actionable insights, optimize strategies, and enhance customer experiences.

Job Responsibilities

1. **Innovative Research**: Leading cutting-edge research projects in data science.

2. **Strategic Thinking**: Contributing to the strategic direction of data science within the organization.

3. **Thought Leadership**: Earning trust of business stakeholders and executives. And promoting Decision Science with industry best practices.

4. **Data Strategy**: Developing and implementing data science and actionable insights strategies for the organization.

5. **Team Leadership**: Managing and mentoring data science teams.

6. **Cross-Functional Collaboration**: Collaborating with other departments to drive business outcomes.

7. **Data Product Development**: Leading the development of data-driven products.

8. **Advanced Domain Knowledge**: Deep expertise in a specific industry or domain (e.g. Sales, Marketing (GTM), Product Led Growth, Advanced Forecasting, Sentiment Analysis, and Natural Language Processing etc.)

9. **Ethics and Compliance**: Ensuring ethical and compliant use of data.

10. **Business Acumen**: Strong understanding of the business and its challenges.

Requirements

-Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

- Proven experience (8-10 years) as a Data Scientist, Research Scientist, Machine Learning Architect or a similar role.

- Excellent programming skills in Python and familiarity with Spark for large-scale data processing.

- Strong understanding of AWS services, especially SageMaker, for building and deploying machine learning models.

- Excellent knowledge of machine learning models, algorithms, and statistics.

- Familiarity with MLOps practices and tools to streamline the machine learning lifecycle.

- Ability to estimate project timelines accurately and create detailed plans for project execution.

- Strong collaboration skills to effectively work with machine learning engineers, data scientists, and product managers.

- Excellent problem-solving skills and a detail-oriented approach to work.

If you thrive in a fast-paced environment and have a passion for machine learning and system architecture, we would love to hear from you. Join our team and contribute to building cutting-edge machine learning systems that revolutionize our industry.