# 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.
* Strong 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
