Job Description
Key Responsibilities
- Collect, preprocess, and analyze structured and unstructured data from multiple sources.
- Develop and implement machine learning models, predictive algorithms, and statistical analyses.
- Design and run experiments to validate hypotheses and measure outcomes.
- Collaborate with cross-functional teams to translate business problems into analytical solutions.
- Present insights, findings, and recommendations through visualizations and storytelling.
- Build scalable, production-ready models and monitor their performance over time.
- Ensure data integrity, quality, and compliance with company standards and policies.
- Stay up to date with emerging trends, tools, and techniques in data science and AI.
Work Experience
Experience and Skills:
Qualifications
- Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- Proven experience as a Data Scientist or in a similar role with the project details
- Strong programming skills in Python or R, with experience in libraries/frameworks (e.g., pandas, scikit-learn, TensorFlow, PyTorch).
- Proficiency in SQL and working with large datasets.
- Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn, etc.).
- Excellent problem-solving skills and business acumen.
- Strong communication skills to explain complex concepts to both technical and non-technical audiences.
Preferred Skills
- Experience with big data technologies (Hadoop, Spark, or Databricks).
- Familiarity with cloud platforms (AWS, GCP, or Azure).
- Knowledge of MLOps practices and model deployment pipelines.
- Background in natural language processing (NLP), computer vision, or deep learning.
- Experience in a specific domain (finance, healthcare, e-commerce, etc.) is a plus.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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