Data Scientist – DS/ML + Python + Recommendation Systems
- Location
- Pan India
- Salary
- Not specified
- Company
- akash pawar
Job description
• Role & Company / Project Overview: We are looking for an experienced Data Scientist with strong hands-on expertise in Data Science, Machine Learning, Python, model building, and recommendation systems. The interview process will be conducted virtually. • Key Responsibilities & Daily Duties: - Develop, build, and deploy end-to-end Machine Learning and predictive models. - Design, evaluate, and optimize recommendation systems and recommendation models. - Perform hands-on modeling, algorithm evaluation, and performance tuning. - Articulate and explain machine learning models, algorithms, and projects clearly. • Required Qualifications, Skills & Experience: - Must have 5+ years of relevant experience. - Must-Have Skills: - Deep hands-on expertise in Data Science & Machine Learning. - Strong Python programming proficiency. - Solid track record in Model Building & Predictive Modeling. - Extensive hands-on experience in Recommendation Systems / Recommendation Models. - Proven hands-on ML / modeling experience with deep understanding of ML algorithms and model evaluation metrics. - Demonstrated ability to explain architectures, models, and projects referenced on the resume. - Good to Have Skills: - Knowledge of Big Data technologies and Apache Spark. - Advanced analytics experience. - Experience working with large datasets. - Profile Clarifications (Not the Focus): - Heavy ETL or Data Engineering profiles are not suitable. - Candidates primarily focused on Big Data pipelines or ETL will not be considered. - Profiles lacking strong hands-on model-building experience will be excluded. - Ideal Candidate: A hands-on Data Scientist who focuses primarily on ML, predictive modeling, recommendation systems, and Python rather than ETL/Data Engineering. • Working Hours, Shifts & Location Details: - Location: Remote – Anywhere in India Only. - Virtual interview process. • Compensation & Benefits: - Not specified. • Application Instructions: - Interested candidates should submit their updated resume via email or WhatsApp. - Use the subject line: Data Scientist – DS/ML + Python + Model Building/Recommendation.