Data Scientist / Data Analyst - AI Jobs Opening in Global instuite at Anna Nagar, Chennai
Job Description
Position Overview
We are seeking a skilled and motivated Data Scientist / Data Analyst with expertise in AI and Machine Learning to join our data-driven team. This role involves analyzing complex data sets, deriving actionable insights, building predictive models, and applying artificial intelligence to solve real-world problems. The ideal candidate will have strong analytical and coding skills, a solid understanding of statistical and machine learning techniques, and a curiosity-driven mindset.
This position bridges the gap between raw data and strategic decision-making—using AI tools, statistical techniques, and domain knowledge to optimize business processes, predict outcomes, and create intelligent solutions.
Key Responsibilities
1. Data Collection, Cleaning, and Preparation
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Collect, extract, and transform large structured and unstructured datasets from various sources (databases, APIs, Excel, CSV, etc.).
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Clean, filter, and preprocess data to ensure high quality and integrity.
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Perform feature engineering and selection to enhance model performance.
2. Data Analysis and Business Insights
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Analyze data trends, patterns, and correlations using statistical tools and techniques.
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Use exploratory data analysis (EDA) to summarize and visualize datasets.
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Deliver insights and data-driven recommendations to stakeholders through dashboards, charts, and written reports.
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Work with business teams to identify KPIs and build performance-tracking systems.
3. Machine Learning and AI Model Development
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Design and build predictive and classification models using algorithms like linear regression, decision trees, random forests, SVM, XGBoost, clustering (K-Means, DBSCAN), and deep learning.
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Train, validate, and test AI/ML models with performance metrics such as accuracy, F1-score, recall, and AUC.
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Use advanced AI techniques such as NLP (Natural Language Processing), image processing, or time-series forecasting as applicable.
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Deploy models into production using APIs, containers, or cloud platforms (AWS, Azure, GCP).
4. Data Visualization and Reporting
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Develop dashboards and real-time reports using tools such as Power BI, Tableau, or Plotly/Dash.
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Create compelling data stories that simplify complex concepts for non-technical stakeholders.
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Automate reporting processes and standardize KPIs across teams.
5. Collaboration and Cross-functional Work
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Collaborate with product managers, engineers, and business analysts to define data requirements and implement AI-driven features.
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Work closely with DevOps and IT teams to ensure secure and scalable data pipelines and deployments.
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Communicate model outputs and implications clearly to stakeholders in different departments.
6. Research and Innovation
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Stay updated with the latest trends, tools, and methodologies in AI, ML, and data science.
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Participate in data science workshops, hackathons, or internal innovation labs.
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Propose experimental AI solutions to optimize internal operations or improve customer experience.
Required Qualifications and Skills
Educational Background:
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Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Engineering, Mathematics, or a related field.
Technical Skills:
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Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) or R.
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Experience with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB).
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Strong understanding of statistics, probability, and hypothesis testing.
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Knowledge of machine learning and deep learning algorithms.
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Familiarity with cloud platforms (AWS SageMaker, Google Cloud AI, Azure ML) and APIs.
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Experience with data visualization tools (Power BI, Tableau, Matplotlib, Seaborn).
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Hands-on with Jupyter Notebooks, Git, and version control.
Soft Skills:
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Critical thinking and problem-solving skills.
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Strong communication skills (both verbal and written).
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Ability to explain technical findings to non-technical audiences.
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Collaborative mindset and the ability to work in agile, cross-functional teams.
More information about this Data Scientist / Data Analyst - AI Job
Please go through the below FAQs to get all answers related to the given Data Scientist / Data Analyst - AI job
- What are the job requirements to apply for this Data Scientist / Data Analyst - AI job position?
- Ans: A candidate must have a minimum of fresher as an Data Scientist / Data Analyst - AI
- What is the qualification for this job?
- Ans: The candidate can be a Graduate from any of the following: B.Com, BE/B.Tech, BSc, CS
- What is the hiring Process of this job?
- Ans: The hiring process all depends on the company. Normally for an entry level, hiring the candidate has to go for Aptitude, GD (If they look for communication),Technical test and face to face interviews.
- This Data Scientist / Data Analyst - AI is a work from home job?
- Ans: No ,its not a Work from Home Job.
- How many job vacancies are opening for the Data Scientist / Data Analyst - AI position?
- Ans: There are immediate 1 job openings for Data Scientist / Data Analyst - AI in our Organisation.
Job Particulars
About Company
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BCA, BE/B.Tech, BSc, MCA, ME/M.Tech, MSc
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B.Com, M.Com, BCA, BE/B.Tech, BSc, MCA, CS, MS, MSc, PG Diploma 
