Role Overview

We are seeking a Data Scientist / ML Specialist to analyze complex datasets, build predictive models, and generate actionable insights that drive business decisions. This role involves working with large-scale data, developing machine learning models, and optimizing them for performance and scalability in production environments.

Key Responsibilities

Analyze structured and unstructured data to extract meaningful insights.
Develop, train, and deploy machine learning models for predictive analytics.
Perform data cleaning, feature engineering, and exploratory data analysis (EDA).
Optimize ML models for accuracy, efficiency, and scalability.
Collaborate with product, engineering, and business teams to translate data into solutions.
Design and implement data pipelines and workflows.
Validate models using statistical techniques and performance metrics.
Communicate findings through dashboards, reports, and visualizations.

Required Skills & Qualifications

5+ years of experience in data science or machine learning roles.
Strong programming skills in Python, R, and SQL.
Solid understanding of statistics, probability, and data modeling.
Experience with machine learning frameworks such as TensorFlow.
Hands-on experience with data analysis, visualization, and model evaluation.
Familiarity with big data tools and distributed computing is a plus.
Strong analytical thinking and problem-solving skills.

Preferred Qualifications

Experience with deep learning, NLP, or computer vision.
Knowledge of cloud platforms (AWS, Azure, GCP) for ML deployment.
Familiarity with MLOps practices and tools.
Experience with BI tools like Tableau or Power BI.

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