Data Scientist with Machine Learning specialization:

7 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

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 remotework 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.

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