Manager, Data Science

Company Description

Freshworks simplifies and accelerates business processes to enhance customer and employee satisfaction. We achieve this by adopting a novel approach in designing and delivering software that is economical, quick to set up, and user-centric. Over 50,000 organizations -- ranging from startups to public companies -- worldwide employ Freshworks' software-as-a-service to enrich customer relationship management (CRM) and employee experience (ITSM, HRSM). Based in San Mateo, California, Freshworks operates dedicated teams across 13 global locations, serving clients including American Express, Sony, Vice Media, TaylorMade, Sotheby’s, Stitchfix, OfficeMax, Multichoice, Delivery Hero, ITV, and Klarna. Freshworks refines the collaboration methods for world-class organizations with their customers and colleagues. The suite includes Freshdesk (omnichannel customer support), Freshsales (sales automation), Freshmarketer (marketing automation), Freshservice (IT service desk), Freshteam (HR management system).

Job Description

In house Role (Individual Performer)

Our employees are a unique advantage for Freshworks. As we continue to expand at a brisk rate, we are searching for a Staff Data Scientist to join our increasing Go-To-Market (GTM) Strategy & Operations crew. The StratOps Data Insights & AI division is a new function that enables GTM, Corporate Strategy, Finance, Marketing, and Executive Management to utilize predictive analytics and artificial intelligence (AI) to extract actionable findings, develop ML models to guide GTM and other corporate teams, and acquire predictive insights of the business health and performance. The primary goal of this team is to strive to assist our customers in achieving their objectives while generating “wow” moments of engagement. We also derive pleasure from doing that.

This position holds a critical function in aiding our marketing, sales, finance, corporate strategy, executive stakeholders, and other support sections by exploiting data, research, and artificial intelligence to elicit actionable insights, refine strategies, and improve customer experiences.

Job Responsibilities

1. **Innovative Research**: Conducting ground-breaking research projects in data science.

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

3. **Thought Leadership**: Gaining confidence of business stakeholders and executives, and propagating Decision Science with industry-best practices.

4. **Data Strategy**: Framing and executing data science and actionable insights strategies for the organization.

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

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

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

8. **Advanced Domain Knowledge**: In-depth 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**: Guaranteeing ethical and compliant data usage.

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

Qualifications

Qualifications:

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

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

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

- Substantial comprehension of AWS services, particularly SageMaker, for building and deploying machine learning models.

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

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

- Capability to accurately estimate project timelines and construct 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 nurture a passion for machine learning and system architecture, we would be keen to hear from you. Join our team and contribute to the development of cutting-edge machine learning systems that transform our industry.

Additional Information