Facebook Pixel

Job Description

Data Scientist


Experience: 3 - 5 Years Exp

Salary : Competitive

Preferred Notice Period: Within 30 Days

Opportunity Type: Hybrid (Mumbai)

Placement Type: Permanent


(*Note: This is a requirement for one of Uplers Clients)


Must have skills required :

Python, SQL, BI Tool


Ripplehire (One of Uplers Clients) is Looking for:

Data Scientist who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you.


Role Overview Description

About the Role

RippleHire is seeking a talented Data Scientist with strong foundational skills and hands-on experience in predictive modeling to join our growing team. This is an excellent opportunity for a mid-level professional looking to make a significant impact while continuing to grow their expertise.


Key Responsibilities

  • Build and implement predictive models for business problems such as customer segmentation, churn prediction, and demand forecasting
  • Perform data analysis and create insights from structured and unstructured data
  • Clean, preprocess, and perform feature engineering on datasets
  • Evaluate model performance and iterate to improve accuracy
  • Document models and analysis for technical and business stakeholders
  • Collaboration & Delivery
  • Work with business teams to understand requirements and translate them into analytical solutions
  • Create visualizations and presentations to communicate findings
  • Participate in code reviews and knowledge sharing sessions
  • Support deployment of models with the engineering team


Required Qualifications and Experience

  • 3-5 years of experience in data science, analytics, or related field
  • At least 2 years of hands-on experience building predictive models
  • Experience working with real business datasets and delivering analytical solutions
  • Technical Skills - Must Have
  • Strong proficiency in Python and its data science libraries (pandas, numpy, scikit-learn)
  • Good understanding of machine learning algorithms (regression, classification, clustering)
  • Experience with SQL for data extraction and manipulation
  • Basic statistics knowledge (hypothesis testing, probability distributions)
  • Experience with data visualization (matplotlib, seaborn, or similar)
  • Familiarity with Jupyter notebooks and Git


Technical Skills - Good to Have

  • Experience with any cloud platform (AWS, GCP (Preferred), or Azure)
  • Basic knowledge of deep learning frameworks (TensorFlow or PyTorch)
  • Exposure to LLMs and prompt engineering
  • Experience with any BI tool (Tableau, Power BI)
  • Knowledge of big data tools (Spark basics)
  • Knowledge of Vector Database


Preferred Qualifications

  • Bachelors or Masters degree in Engineering, Computer Science, Statistics, Mathematics, or related field
  • Kaggle participation or personal ML projects on GitHub
  • Experience with A/B testing
  • Basic understanding of MLOps concepts
  • Any experience with NLP or time series analysis


What Makes You a Good Fit

  • You have successfully built and deployed at least 2-3 predictive models
  • Youre comfortable working with messy, real-world data
  • You can explain technical concepts to non-technical stakeholders
  • Youre eager to learn new technologies, especially in the AI/LLM space
  • Youre detail-oriented and write clean, documented code


Growth Opportunities

  • Clear path to Senior Data Scientist role
  • Exposure to LLM projects and cutting-edge AI technologies
  • Mentorship from senior team members
  • Cross-functional project opportunities


How to apply for this opportunity:

Easy 3-Step Process:

1. Click On Apply! And Register or log in on our portal

2. Upload updated Resume & Complete the Screening Form

3. Increase your chances to get shortlisted & meet the client for the Interview!


About Our Client:

Ripplehire is a recruitment SaaS for companies to identify correct candidates from employees social networks and gamify the employee referral program with contests and referral bonus to engage employees in the recruitment process. Developed and managed by Trampoline Tech Private Limited. Recognized by InTech50 as one of the Top 50 innovative enterprise software companies coming out of India and; NHRD (HR Association) Staff Pick for the most innovative social recruiting tool in India. Used by 7 clients as of July 2014. It is a tool available on the subscription-based pricing model.


About Uplers:

Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career.

(Note: There are many more opportunities apart from this on the portal.)


So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, dont hesitate to apply today. We are waiting for you!


Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: India City: Mumbai ,Maharashtra
Company Website: https://www.uplers.com/ Job Function: Engineering
Company Industry/
Sector:
Technology Information and Internet

What We Offer


About the Company

Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.

Report

Similar Jobs

Disclaimer: talentmate.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.


Talentmate Instagram Talentmate Facebook Talentmate YouTube Talentmate LinkedIn