Data Scientist with Machine Learning specialization:

Job Title: Data Scientist

Experience: 7+ Years

Work Mode: Remote

Employment Type: Full-time / Contract / Freelance

Job Summary

We are seeking a highly skilled Data Scientist with 7+ years of experience to lead data-driven initiatives that drive strategic decision-making and business impact. The ideal candidate has a strong foundation in machine learning,

statistical modeling, big data analytics, and cloud-based data solutions. You will collaborate with cross-functional teams to translate complex datasets into actionable insights and deploy scalable predictive models in a remote

work environment.

Key Responsibilities

• Design and implement machine learning models and predictive analytics solutions to solve real-world business problems.
• Perform data wrangling, preprocessing, feature engineering, and model evaluation using large structured and unstructured datasets.
• Develop and optimize ETL pipelines and work closely with data engineers for production deployment.
• Apply statistical techniques, hypothesis testing, and exploratory data analysis (EDA) to uncover insights and trends.
• Collaborate with stakeholders to define business objectives and translate them into data science solutions.
• Use cloud platforms (AWS, Azure, or GCP) to deploy scalable data and ML solutions.
• Communicate findings effectively through visualizations, dashboards (Power BI, Tableau), and presentations.
• Continuously monitor model performance and retrain models as necessary.
• Stay updated with the latest advancements in AI/ML, NLP, and deep learning technologies.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or related field.
• Minimum 7 years of experience in data science, analytics, or machine learning engineering.
• Strong programming skills in Python, R, or SQL.
• Experience with ML frameworks like Scikit-learn, TensorFlow, PyTorch, or XGBoost.
• Proficiency in data visualization tools — Tableau, Power BI, or matplotlib/seaborn.
• Strong understanding of statistical modeling, probability, and regression techniques.
• Hands-on experience with big data tools (Spark, Hadoop, Databricks) and cloud data services (AWS S3, Redshift, Azure Synapse, GCP BigQuery).
• Excellent communication and problem-solving skills with the ability to explain complex concepts to non-technical audiences.