Data Scientist
Skillmind Software Limited
Engineering & Technology
Job Summary
We are seeking an experienced Data Scientist with 4–5 years of expertise in applying advanced analytics, machine learning, and statistical modeling to solve complex business problems. The ideal candidate will have strong skills in Python, SQL, and data visualization, along with hands-on experience working with large datasets on cloud platforms.
- Minimum Qualification : Bachelors
- Experience Level : Senior level
- Experience Length : 5 years
Job Description/Requirements
Key Responsibilities
Collect, clean, and process structured and unstructured data from multiple sources.
Apply statistical methods, predictive modeling, and machine learning algorithms to extract insights and drive business decisions.
Design and implement end-to-end ML models, from development to deployment.
Use Python, R, SQL, and cloud services (AWS / Azure / GCP) for data manipulation and modeling.
Develop dashboards and visualizations using Power BI / Tableau / matplotlib / seaborn.
Collaborate with stakeholders to translate business problems into data-driven solutions.
Document methodologies, models, and results for knowledge sharing.
Work closely with data engineers and analysts to optimize data pipelines and model performance.
Required Skills & Experience
4–5 years of proven experience as a Data Scientist.
Strong programming skills in Python (pandas, NumPy, scikit-learn, TensorFlow/PyTorch).
Proficiency in SQL for querying and data preparation.
Experience with machine learning, NLP, deep learning, or recommendation systems.
Knowledge of statistics, probability, and hypothesis testing.
Hands-on experience with cloud-based ML tools (AWS SageMaker, Azure ML, GCP AI/ML).
Strong analytical and problem-solving skills with attention to detail.
Excellent communication and presentation abilities.
Preferred Qualifications
Exposure to domain-specific data (finance, e-commerce, healthcare, etc.).
Experience with big data frameworks (Spark, Hadoop).
Knowledge of MLOps / model deployment best practices.
Advanced degree (Master’s / PhD) in Computer Science, Data Science, Statistics, or related field.
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