A Data Scientist analyzes complicated information to extract insights, construct predictive models, and inform selection-making. Data Scientist use statistical methods, system-gaining knowledge of, and facts visualization gear to interpret information styles, remedy enterprise troubles, and drive strategic initiatives. Strong analytical capabilities, programming proficiency, and a deep knowledge of records are crucial.
- Job Role: Data Scientist
- Company: Swiggy
- Location: Remote
- Experience: 0 – 3 years
- Salary: ₹5-₹20 Lacs P.A
About Company:
Swiggy, based in 2014, is India’s leading online meal delivery platform founded in Bengaluru. It connects consumers with an enormous network of nearby eating places, offering a continuing ordering experience through its app and internet site. Known for its fast and dependable shipping provider, Swiggy has elevated past food transport to consist of offerings like Swiggy Genie for parcel shipping and Swiggy Instamart for grocery deliveries. With a focus on consumer delight and innovation, Swiggy has grown hastily, becoming a household name in India’s food transport environment. The organization emphasizes era, convenience, and a wide choice of culinary options.
Job Description:
At Swiggy, Data Science and carried out Machine Learning (ML) are imperative to our decision-making processes and product improvement. Our facts scientists collaborate intently with move-practical teams to supply cease-to-give-up data merchandise. This procedure spans from formulating business problems into mathematical or ML phrases to iterating on ML/Deep Learning (DL) techniques, and in the end, deploying these solutions into manufacturing. Our initiatives have an immediate effect on both purchaser enjoyment and commercial enterprise metrics. We promote the open sharing of thoughts and encourage publishing paintings internally and externally. Data Scientist.
Key Responsibilities Of Data Scientist:
Developing ML Solutions:
- Data Scientist Utilize your knowledge in ML/DL/Statistics to create new and subsequent-era ML-based total answers aimed at enhancing the nice of ad recommendations.
- Implement optimization techniques to enhance the campaign’s overall performance.
Data Mining and Analysis:
- Extract relevant statistics from Swiggy’s substantial historical information.
- Use these statistics to ideate and discover solutions to both commercial enterprise and customer enjoyment (CX) issues.
Collaboration and Implementation:
- Work closely with engineers, product managers (PMs), and analysts to acquire designated requirements and participate in technical designs.
- Implement end-to-stop inference solutions that could scale with Swiggy’s operations.
Research and Development:
- Stay up to date with modern-day ML studies, especially in Ads Bidding algorithms and Recommendation Systems.
- Adapt cutting-edge studies to remedy Swiggy’s unique trouble statements.
Communication and Publishing:
- Publish and present your paintings on both internal and external boards.
- Communicate complicated technical concepts to each technical and non-technical audience.
Qualifications:
Educational Background: Bachelor’s or Master’s diploma in a quantitative subject (e.g., Computer Science, Mathematics, Statistics).
Experience: zero years of enjoyment in industry or studies labs.
Skills Required For Data Scientist:
Problem Solving: Excellent problem-solving capabilities with the ability to deconstruct and formulate solutions from first ideas.
Technical Proficiency: Depth and hands-on experience in applying ML/DL and statistical techniques to enterprise issues.
Big Data Experience (Preferred): Experience in operating with massive records and deploying ML/DL models to production is a plus.
Programming Skills: Strong skill ability in Python, SQL, Spark, and TensorFlow.
Communication Skills: Strong spoken and written conversation skills are critical.
Industry Experience (Big Plus): Experience within the e-commerce and logistics space.
Benefits at Swiggy:
Health and Wellness: Comprehensive medical health insurance for personnel and their households, admission to wellness programs, and regular fitness take a look at-ups.
Career Development: Opportunities for professional boom through training programs, talent development workshops, and professional development projects.
Work-Life Balance: Flexible painting hours, remote work options, and beneficiant paid leave policies to ensure wholesome work-existence stability.
Employee Perks: Free meals, discounted Swiggy orders, leisure centers, and engagement sports to decorate the overall worker’s enjoyment.
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