If you are passionate about data science and dream of joining a top E-commerce company, here’s your golden opportunity!
Recruito is hiring for the position of Data Scientist – 1 at An E-commerce Unicorn. This role is perfect for freshers and young professionals with 0–2 years of experience. With a lucrative salary package of ₹14-18 LPA, this remote job comes packed with excellent perks.
Whether you’re an aspiring data scientist or a recent graduate with skills in Python, Machine Learning, Computer Vision, and Deep Learning, this is a chance you shouldn’t miss. Let’s dive into all the job details you need to know!
Job Overview: Data Scientist – 1 at An E-commerce Unicorn
Details | Information |
---|---|
Position | Data Scientist – 1 |
Hiring Company | Recruito |
Location | Remote (Hiring office in Bengaluru) |
Experience Required | 0–2 years |
Salary Range | ₹14–18 Lakhs per annum |
Job Type | Full Time, Permanent |
Department | Data Science & Analytics |
Industry | Internet / E-Commerce |
Number of Openings | 4 |
Applicants Already | 1938 |
Perks | Medical Insurance, Internet Reimbursement, Flexible Hours |
The position of Data Scientist – 1 at An E-commerce Unicorn is a full-time remote opportunity that provides flexibility along with career growth. You’ll be working closely with talented tech and product teams, building innovative data-driven solutions.
Why You Should Apply for Data Scientist – 1 at An E-commerce Unicorn
Here’s why this role is worth your attention:
- High salary: Competitive package between ₹14-18 LPA.
- Remote work: Work from anywhere while being part of a dynamic team.
- Perks and Benefits: Medical insurance, internet reimbursement, and flexible working hours.
- Learning Opportunity: Get exposure to cutting-edge technologies like Deep Learning, Computer Vision, Machine Learning, and more.
Joining as a Data Scientist – 1 at An E-commerce Unicorn opens doors to a vibrant work environment where you can grow and polish your skills continuously.
Key Requirements for Data Scientist – 1 at An E-commerce Unicorn
To fit into this exciting role, you need to meet the following requirements:
Educational Qualification:
- Undergraduate Degree (Any stream).
Technical Skills Needed:
Skill | Proficiency Requirement |
---|---|
Deep Learning | Solid understanding |
Machine Learning | Strong foundation |
Computer Vision | Good knowledge and project experience preferred |
Statistics & Linear Algebra | Must have strong grasp |
SQL | Working experience is needed |
Python | Mandatory for all data tasks |
PyTorch & TensorFlow | Practical hands-on experience preferred |
Having a background in hypothesis testing, model building, and algorithm development will give you an edge over other candidates.
Responsibilities: What You Will Do
As a Data Scientist – 1 at An E-commerce Unicorn, your role will revolve around:
- Designing and implementing machine learning models.
- Deriving meaningful insights from complex data sets.
- Collaborating with product managers and tech leads.
- Enhancing e-commerce platforms using AI and Machine Learning.
- Running experiments and validating models with real-world data.
You will have the creative freedom to explore various Machine Learning and Computer Vision techniques to improve customer experiences and internal operations.
Perks & Benefits
Here’s what you can expect when you become a Data Scientist – 1 at An E-commerce Unicorn:
Perk | Details |
---|---|
Medical Insurance | Full coverage to keep you secure |
Internet Reimbursement | Work smoothly from home |
Flexible Working Hours | Focus on output, not on clocking time |
These benefits ensure that your productivity is at its peak while your health and comfort are prioritized.
Skills That Will Make You Stand Out
If you want to increase your chances of landing the Data Scientist – 1 at An E-commerce Unicorn role, work on these skills:
- Developing complex models in TensorFlow or PyTorch.
- Building computer vision applications.
- Mastering data extraction and analysis using SQL.
- Sharpening your problem-solving skills using statistical methods.
- Staying updated with the latest trends in Machine Learning and Deep Learning.
Having real-world project experience and showcasing practical use cases during the interview will set you apart.
Why Choose a Career with an E-commerce Unicorn?
E-commerce unicorns are shaping the future of shopping and online services. Working as a Data Scientist – 1 at An E-commerce Unicorn will not only boost your resume but also help you make a real-world impact through technology. You will:
- Work in a fast-paced, innovation-driven environment.
- Be part of high-growth teams.
- Collaborate with some of the brightest minds in tech and data science.
- Get the chance to lead projects and make strategic decisions.
This role will fast-track your career and place you in a top spot in the booming field of data science!
How to Apply?
Are you excited about the opportunity to become a Data Scientist – 1 at An E-commerce Unicorn?
Don’t wait any longer. Click the Apply Now button below to kickstart your career in data science with one of the best E-commerce giants.
Final Thoughts
Landing a job as a Data Scientist – 1 at An E-commerce Unicorn could be the breakthrough your career needs. Whether you’re just starting out or have a couple of years of experience, this role offers exceptional growth, learning, and a fulfilling work-life balance.
Don’t miss this golden chance. A role offering a remote setup, flexible hours, medical benefits, and a high salary doesn’t come by every day. Prepare your resume, sharpen your data science skills, and apply now!
Preparation Tips for Data Scientist – 1 at An E-commerce Unicorn
Landing the Data Scientist – 1 at An E-commerce Unicorn role requires a smart preparation strategy. Here are some key tips to help you stand out:
- Master Python and SQL: Brush up on Python programming, libraries like Pandas, NumPy, and master SQL queries to handle real-world datasets efficiently.
- Deep Dive into Machine Learning: Focus on building projects using PyTorch and TensorFlow. Understand model building, hyperparameter tuning, and evaluation techniques.
- Strengthen Fundamentals: Revise your knowledge of Statistics, Linear Algebra, Probability, and Computer Vision concepts.
- Practice Real Problems: Solve case studies and participate in Machine Learning competitions on platforms like Kaggle to showcase practical skills.
- Work on Communication Skills: Since you will collaborate with tech and product teams, strong analytical communication and storytelling with data are crucial.
- Mock Interviews: Practice common data science interview questions, coding tests, and machine learning case study discussions.
- Build a Portfolio: Prepare a solid GitHub repository showcasing your projects related to Machine Learning, Computer Vision, and Deep Learning.
Focus on real-world problem-solving and keep your learning hands-on. With dedicated preparation, you can definitely crack the Data Scientist – 1 at An E-commerce Unicorn position!