Swiggy | Data Scientist

2 weeks ago

india Swiggy Full time

Job Profile - Data Scientist II

Location - Bangalore, India (Remote)

Experience Range - 3 to 5 years


JD :

We are seeking a skilled and experienced Data Scientist to join our Trust & Safety, focusing on customer lifetime value and fraud prevention. As a DS2, you will play a crucial role in enhancing our customer experience and fraud identification and prevention systems through the application of advanced mathematics, machine learning, deep learning, statistics, and unsupervised research techniques.


Key Responsibilities:

1. Work closely with Trust & Safety and Customer-Experience team.

2. Develop and deploy machine learning and deep learning models.

3. Conduct data analysis and modeling to identify opportunities for optimization and automation.

4. Apply unsupervised fraud and anomaly detection techniques to complex fraud prevention systems across Swiggy

5. Apply non traditional methods for customer value and churn estimation.

5. Collaborate with cross-functional teams, including software developers and product managers, to integrate data-driven solutions into our systems.

6. Take ownership of projects from inception to delivery, ensuring high-quality and impactful results.

7. Stay updated on the latest advancements in machine learning, deep learning, and logistics optimization techniques.


Qualifications:

1. Bachelor's degree or higher in Applied Mathematics, Statistics, Computer Science, or a related field.

2. 3 to 5 years of hands-on experience in industry settings.

3. Strong expertise in machine learning algorithms, deep learning, and statistical methods.

4. Proven track record of developing and shipping ML and DL data products.

5. Proficiency in Python.

6. Experience with Spark is a plus.

7. Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

8. Previous experience in deep learning, operations research, and working in startup or product-based consumer/internet companies is preferred.


Why Join Us:

- Opportunity to work on challenging and impactful projects in the Customer Trust domain.

- Collaborative and supportive work environment that fosters learning and growth.

- Competitive compensation package with benefits.


If you’re enthusiastic about leveraging data science, machine learning, and unsupervised structured learning to tackle complex fraud and gain insights into unpredictable customer behavior, and if you thrive in a dynamic environment, we invite you to apply for this exciting opportunity.

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