Data Scientist

Position: Data Scientist

Location: [Chennai, Bangalore, Hyderabad

Employment Type: [Full-Time/ Internship]

Experience Level: [Fresher/Experienced]

Reports To: Team Leader

Shift: Rotational (24x7) – includes weekends and holidays

Company Overview

"About Us"Infotroz Solutions is a leading consulting and professional services organization dedicated to leveraging cutting-edge data and technology solutions. We specialize in turning critical business challenges into a competitive advantage for our clients, all while fostering a culture of innovation and collaboration in worldwide

Job Overview

We are seeking an experienced and analytical Data Scientist to extract meaning from and interpret large, complex datasets to power our systems and solutions. The ideal candidate will have strong statistical, mathematical, and programming expertise to build high-quality prediction systems that guide business strategy.

Responsibilities

Formulate and lead multifaceted analytic studies against large volumes of data.

Interpret data, analyze results using advanced statistical techniques, and provide ongoing insights.

Develop and implement databases, data collection systems, and other strategies that optimize statistical efficiency and data quality.

Identify, analyze, and interpret trends or patterns in complex data sets to uncover hidden opportunities.

Clean and validate data for uniformity and accuracy, performing rigorous data preprocessing.

Build predictive models and machine learning algorithms (e.g., k-NN, Naive Bayes, SVM, Decision Forests, etc.) to solve business problems.

Stay updated with technical and industry developments, including advancements in AI, LLMs, and RAG.

Required Qualifications & Experience

Bachelor's degree in a quantitative discipline such as Computer Science, Statistics, Mathematics, Engineering, or a related field (Master's preferred).

Fresher/Expreinced as a Data Scientist or in a related analytical/ML engineer role.

Proven experience in designing and implementing data processing and machine learning frameworks.

Strong foundation in statistics, probability, mathematical modeling, and data modeling.

Experience with the full software development lifecycle (SDLC) and Agile/Scrum methodologies.

Tools & Systems Knowledge

Programming Languages: Proficiency in Python, R, and SQL for data analysis and automation.

ML Frameworks: Experience with scikit-learn, TensorFlow, PyTorch, or related libraries.

Databases & Big Data: Knowledge of relational (PostgreSQL, MySQL) and NoSQL databases, and big data platforms like Hadoop or Spark.

Cloud Platforms: Hands-on experience with AWS, Azure, or GCP services (e.g., S3, SageMaker, Redshift).

Visualization Tools: Expertise in Tableau, Power BI, Matplotlib, or Seaborn to present findings.

Tools: Git/GitHub, Docker, Kubernetes, JIRA, PyCharm.

Specialized/Secondary Keywords

Machine Learning / Deep Learning

Natural Language Processing (NLP)

Predictive Modeling / Statistical Analysis

Data Mining / Data Cleansing / Data Wrangling

A/B Testing / Experimentation

AI / Generative AI / Large Language Models (LLMs)

ETL Processes / Data Pipelines

Big Data Technologies

Soft Skills & General Terms

Problem-solving and analytical abilities

How to Apply

If you are interested in this opportunity, please apply directly via Mail [ ]

Job Types: Full-time, Internship

Pay: From ₹305,628.61 per year

Work Location: In person