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Data Scientist(6 Months Contract) | Remote

Varite

  • Remote, India
  • 20-25 Lacs PA
  • 4-8 Yrs
  • Posted Today
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About the role

Job Title : Software Engineer II Location: Gurgaon, HR (Remote) Experience Required: 4-8 Years Salary Range: 20 to 26 LPA Role Type/Shift : Contract/General Contract Duration: 6 Months About The Job: Company Name: VARITE India Private Limited About The Client: An American technological research and consulting firm based in Stamford, Connecticut that conducts research on technology and shares this research through private consulting, executive programs, and conferences. Its clients include large corporations, government agencies, technology companies, and investment firms. The Client serves over 12,000 organizations in over 100 countries with an employee strength of 15,000. About The Job: Top 3 Skills: Solid programming skills in Python and SQL, with experience using data science libraries (scikit-learn, TensorFlow/PyTorch, HuggingFace, etc.). Comfortable with GenAI tools like claude-code, copilot to ensure productivity. Practical experience with web scraping tools (e.g., BeautifulSoup, Scrapy). Essential Job Functions: Roll-out and enhance Recommendation Models for *** Conferences. These models ensure improved user experience before, during and after conference, thereby resulting in higher client retention rate. Roll-out and enhance predictive model around Attendees and Exhibitor retention. Support Conferences business and sales; drive up Attendee and Exhibitor sales with modeling and analytics capabilities. Enrich conferences client dataset by leveraging scraping, predictive and generative ai tooling & capabilities. Work closely with business to refine requirements around conferences business, build quick POCs, present findings in a consumable report or streamlit app. Improve upon MLOps capabilities by building and optimizing data pipelines, model monitoring and training capabilities. Automate solutions that help conferences business and strategy teams with analytics and insights capabilities for efficient decision making. Work closely with business and engineering counterparts to develop & deploy solutions involving production grade micro-services, data pipelines, insight dashboards. Drive migration and Consolidation of conferences data products and services thereby enabling unified experience for *** Clients and Prospects. Qualifications: The ideal candidate will have Masters or PhD in Computer Science, Statistics, Mathematics, or a related field. 5+ years of hands-on experience in data science, machine learning, or a related field. Solid programming skills in Python and SQL, with experience using data science libraries (scikit-learn, TensorFlow/PyTorch, HuggingFace, etc.). Comfortable with GenAI tools like claude-code, copilot to ensure productivity. Practical experience with web scraping tools (e.g., BeautifulSoup, Scrapy). Some understanding of Large Language Models (LLMs) is a plus, especially for enhancing processes. Strong ability to communicate technical concepts to non-technical audiences. Experience with big data technologies (Spark, Hadoop). Familiarity with cloud platforms (AWS, GCP, Azure). Some understanding of LLMs (e.g., GPT, Llama) for automating and improving web-scraping and data extraction tasks. How to Apply: Interested candidates are encouraged to respond/submit their updated resumes, and for additional job opportunities, please visit Jobs In India VARITE . Unlock Rewards: Refer Candidates and Earn. If you're not available or interested in this opportunity, please pass this along to anyone in your network who might be a good fit and interested in our open positions. VARITE offers a Candidate Referral Program, where you'll receive a one-time referral bonus based on the following scale if the preferred candidate completes a three-month assignment with VARITE. Experience Level Bonus Referral: Experience Level Bonus Referral 0-2 years INR 5,000 2-6 years INR 7,500 6+ years INR 10,000 About VARITE: VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA. VARITE is currently a primary and direct vendor to the leading corporations in the verticals of Networking, Cloud Infrastructure, Hardware and Software, Digital Marketing and Media Solutions, Clinical Diagnostics, Utilities, Gaming and Entertainment, and Financial Services. Equal Opportunity Employer: VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, veteran status, or disability status.

Eligibility & process

Who can apply

Experience: 4-8 Yrs. Open to matching qualifications.

Skills & stack

Data Science Artificial Intelligence Machine Learning Web Scraping Python TensorFlow Machine Remote

Selection process

  1. Online Assessment / Technical Interview Rounds / HR Review

Prep kit

19 resources
Study material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Round 1: Online Assessment (OA) Aptitude, Quantitative Logic & 2 Coding Problems Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1 Core Tech Stack (Data Science, Artificial Intelligence, Machine Learning, Web Scraping, Python, TensorFlow, Machine, Remote) & Live Code Tracing Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving Database Schemas, APIs & Architecture Basics Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion Varite Core Values, Learning Agility & Offer Terms Demonstrate passion, strong communication, and readiness for full-time collaboration.
Technical questions 4
What is the bias-variance tradeoff and how do you prevent overfitting? Answer
Model answer: High bias leads to underfitting (oversimplified model), high variance leads to overfitting (captures noise). Mitigate using L1/L2 Regularization, Dropout, Cross-Validation, and data augmentation.
Explain the difference between Precision, Recall, and F1-Score. Answer
Model answer: Precision = TP / (TP + FP) (correctness of positive predictions). Recall = TP / (TP + FN) (coverage of actual positives). F1-Score is the harmonic mean of Precision and Recall.
How does Gradient Descent work and what is the role of Learning Rate? Answer
Model answer: It optimizes loss functions by iteratively moving weights in the direction of negative gradient. A large learning rate may overshoot the minimum; a small rate causes slow convergence.
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer
Model answer: Supervised uses labeled data (X -> y). Unsupervised finds hidden patterns in unlabeled data (clustering/PCA). Self-supervised generates labels from input data (e.g. masked language modeling in BERT/Transformers).
Behavioural & HR questions 3
Why do you want to join Varite as a Data Scientist(6 Months Contract) | Remote?
Highlight Varite's market reputation, recent tech innovations, and how your skills in Data Science directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Varite 20-25 Lacs PA
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