📌 Job Summary

Company: Infiniti Software Solutions Private Limited

Role: Data Scientist – Python/SQL

Location: Chennai, Tamil Nadu, India

Experience: 2 – 5 Years

Skills Required: Strong Python and SQL capabilities, data modeling, statistical analysis, machine learning fundamentals, data visualization (e.g., Matplotlib/Seaborn), and proficiency with pandas/NumPy libraries. :contentReference[oaicite:0]{index=0}

Posted On: 27/01/2026 (via Hirist) :contentReference[oaicite:1]{index=1}

🧠 Job Description

This role is designed for a data scientist with both analytical depth and a *product mindset*. You’ll architect and prototype predictive models, drive the data strategy, and help define metrics that guide the company’s product decisions. You’ll use Python and SQL to manipulate and analyze data, build models, and generate insights that influence engineering and business priorities. :contentReference[oaicite:2]{index=2}

Main Responsibilities

• Build, validate and evaluate statistical and machine learning models (classification, regression, forecasting). :contentReference[oaicite:3]{index=3}
• Rapidly prototype solutions using Python and core data science libraries. :contentReference[oaicite:4]{index=4}
• Define key product and business metrics (“north star” KPIs) that align analytical efforts with strategic goals. :contentReference[oaicite:5]{index=5}
• Perform hypothesis testing, A/B experimentation, and statistical analysis to assess product impact. :contentReference[oaicite:6]{index=6}
• Write robust SQL to explore complex datasets and support modeling goals. :contentReference[oaicite:7]{index=7}
• Visualize insights using Matplotlib, Seaborn, or similar visualization tools. :contentReference[oaicite:8]{index=8}
• Collaborate with product leaders, engineers, and stakeholders to translate analytical insights into product decisions. :contentReference[oaicite:9]{index=9}

💼 Salary & Market Expectations (India)

Data Scientist roles in similar companies and AI/ML teams in India typically range from around ₹8 LPA to ₹20 LPA+ depending on experience, technical skills, and impact on strategic outcomes. Data scientists with strong Python/SQL expertise and product analytics experience often command upper‑end compensation. (Indicative based on nationwide data science roles.) :contentReference[oaicite:10]{index=10}

📘 How to Prepare for This Role

• Python for Data Science: Become proficient in pandas, NumPy, scikit‑learn and other ML libraries for building and evaluating models. :contentReference[oaicite:11]{index=11}
• Advanced SQL: Master SQL queries, joins, window functions, and performance optimization for large datasets. :contentReference[oaicite:12]{index=12}
• Statistical Modeling: Learn hypothesis testing, regression, classification, and evaluation metrics for ML models. :contentReference[oaicite:13]{index=13}
• Visualization: Use Matplotlib/Seaborn or similar tools to communicate insights to non‑technical stakeholders. :contentReference[oaicite:14]{index=14}
• Product Mindset: Understand how to align analytical work with product and business outcomes through KPI definition and experimentation. :contentReference[oaicite:15]{index=15}

🏢 About Infiniti Software Solutions

Infiniti Software Solutions is a private technology company that builds software products and analytics solutions, often for travel‑tech and AI/ML‑driven use cases. They emphasize innovation, product analytics, and data‑driven decisions, and have been recognized as an “Amazing Workplaces® Certified” organization. :contentReference[oaicite:16]{index=16}

🌍 Industry Trends & Outlook

Data Science continues to be a critical role across sectors in 2026, as companies seek to embed analytics and machine learning into products and business decisions. Python, SQL, and statistical modeling remain core skills, while product‑centric data scientists who can influence roadmap decisions are increasingly valued. :contentReference[oaicite:17]{index=17}

⚖️ Pros & Cons for Job Seekers

Pros	Cons
Opportunity to shape product analytics and strategy	Expectations for deep statistical understanding and fast prototyping
Hands‑on role with both modeling and product impact	This mid‑level role requires both technical and cross‑team communication skills
Exposure to real business metrics and decision systems	Salary may be moderate compared to large tech product firms

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