Shadi.com hires a Data Science Intern to analyze data, build machine learning models, and support data-driven decisions. Check the eligibility and other details below!
About Shadi.com
Shaadi.com was founded to offer an exceptional matchmaking experience for Indians around the world. As the largest online matchmaking platform, it has been a pioneer in the online matrimony industry since its launch in 1996. With over 35 million users globally, Shaadi.com has successfully helped millions find their life partners. Its innovative approach has garnered numerous accolades, including recognition as one of the world’s 50 Most Innovative Companies by Fast Company, and the Best Matrimonial Site – Reader’s Choice Award from About.com.
Internship Details
Shaadi.com is looking for a talented and motivated Data Science Intern to join their team for a 6-month internship, starting in January 2025. This role provides an excellent opportunity for interns to gain practical experience in a dynamic, real-world setting. Interns will actively contribute to data science projects that have a direct impact on business strategy and performance, offering valuable exposure to the application of data science in driving business outcomes.
Qualifications
- The ideal candidate is currently enrolled or has recently graduated from a top-tier institution, with an expected graduation year of 2025 (e.g., IITs, NITs, ISBs, BITS, or similar).
- They should have a strong grasp of machine learning models and Natural Language Processing (NLP) techniques, including both supervised and unsupervised learning, text classification, and language models.
- Proficiency in Python is essential, along with experience in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch for data processing and machine learning tasks.
- A solid understanding of SQL is required, with the ability to write and optimize complex queries for analyzing large datasets.
- The candidate should also possess a strong understanding of A/B testing, hypothesis testing, and statistical evaluation techniques.
- Excellent analytical and problem-solving skills are a must, particularly in handling large-scale data challenges and deriving actionable insights.
- Strong communication skills are necessary to effectively present technical findings to non-technical stakeholders and team members.
- Bonus skills: Familiarity with AWS Cloud Services (S3, EC2, Redshift) for model deployment and cloud infrastructure work is a plus.
Responsibilities
- Build end-to-end machine learning models from scratch, starting with data fetching and preprocessing, followed by feature engineering, model training, evaluation to solve business problems and drive impactful outcomes.
- Data Analysis with Amazon Redshift: Use Amazon Redshift to query large datasets, perform exploratory data analysis, and build data pipelines for processing structured and unstructured data.
- Model Deployment: Deploy machine learning models using AWS Cloud services (e.g. EC2, Lambda, S3), serving them either as APIs or batch processes.
- Conduct A/B testing experiments to evaluate model performance, analyze the results, and assess the impact of models on key business metrics.
- Collaboration: Work closely with cross-functional teams, including other data scientists, data analysts, engineers to implement data-driven solutions.
- Reporting & Visualization: Develop dashboards, visualizations, and reports to communicate findings, insights, and model results effectively to stakeholders.
How to Apply?
Interested and eligible candidates can directly apply through this link.
Location
Mumbai, Maharashtra.
