# Data Scientist

**Company:** TrueID Pvt Ltd

**Website:** https://www.trueid.in/

**Employment Type:** Full Time

**Experience:** 7–12 Years

**No. of Positions:** 2

**CTC:** ₹42–45 LPA

**Location:** Hyderabad

**Work Mode:** WFO – 5 Days

**Notice Period:** 0–15 Days

**Qualification:** Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Not From BCom

**Role Type:** Individual Contributor role only

## Job Description

TrueID Pvt Ltd is looking for a Data Scientist with hands-on experience in Data Science, Machine Learning, and Predictive Analytics to analyze large datasets, build predictive models, develop AI/ML solutions, and generate actionable business insights.

### Must Have Skills

* 5 to 8 years of hands-on experience in Data Science, Machine Learning, Predictive Analytics.

* Strong proficiency in Python, including experience with data manipulation, statistical analysis, machine learning, and model development using libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch and related frameworks.

* Solid understanding of statistics, probability theory, hypothesis testing, regression analysis, sampling techniques, and experimental design to support data-driven decision making.

* Apply statistical and machine learning techniques to analyze large datasets, identify patterns, build predictive models, and generate actionable business insights.

* Experience in building REST APIs and integrating AI models into production environments.

* Robust understanding of statistics, machine learning algorithms, forecasting techniques, and optimization methods.





* Excellent analytical, problem-solving, and communication skills with the ability to work in cross-functional teams.

### Good to Have Skills

* Experience with Generative AI technologies, Large Language Models (LLMs).

* Experience working with SQL and NoSQL databases, data warehouses, and big data technologies.

* Familiarity with cloud platforms such as AWS, and containerization technologies such as Docker and Kubernetes.

## Roles & Responsibilities

* Collaborate with business stakeholders, product managers, and engineering teams to translate business requirements into analytical solutions.

* Extract and integrate data from multiple sources through APIs, databases, and file-based interfaces.

* Analyze structured and unstructured data to identify trends, patterns, and actionable business insights.

* Perform data preprocessing, feature engineering, model development, deployment and model evaluation.

* Evaluate, fine-tune, and optimize AI/ML models to improve accuracy, performance, scalability, and reliability.

* Develop APIs and services for model deployment and integration with enterprise systems.

* Ensure data quality, governance, security, and compliance throughout the analytics lifecycle.

* Stay current with emerging AI, GenAI, machine learning, and data science technologies and recommend their adoption where appropriate.

## Interview Process

* L1 – Technical (Python)

* L2 – Managerial Round

* HR Round

**Office Time:** 9:30 AM to 6:00 PM

**Weekend Drives:** Not Specified

**Salary Payment:** Last working day of the month

Pay: ₹4,200,000.00 - ₹4,500,000.00 per year

Work Location: In person

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