Full Time
Data Scientist
- JOB CODE :
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Mumbai, Pune, Nagpur, Indore, Vadodara, Ahmedabad, Hyderabad, Chennai, Warangal, Vishakhapatnam, Vijayawada, Bangalore, Kochi, Kolkata, Bhubaneswar, Coimbatore, Chandigarh, Delhi, Gurgaon, Noida, Jaipur
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Job Description :
We are seeking a highly skilled and experienced Data Scientist with expertise in Machine Learning, Python, Deep Learning, Natural Language Processing (NLP), and Numpy. The successful candidate will play a key role in developing and implementing advanced analytical solutions to solve complex business problems. This position is open for multiple locations across India.
Duties & Responsibilities:
Machine Learning Modeling:
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Develop and implement machine learning models to extract insights and patterns from large datasets. -
Utilize advanced statistical techniques for predictive and prescriptive analysis.
Deep Learning and NLP:
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Apply deep learning techniques for image recognition, text analysis, and natural language understanding. -
Implement NLP algorithms for sentiment analysis, text summarization, and language translation.
Data Exploration and Preprocessing:
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Clean, preprocess, and analyze large volumes of structured and unstructured data. -
Work with Numpy and other data manipulation libraries to transform and manipulate data.
Feature Engineering:
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Perform feature engineering to enhance model performance and interpretability. -
Collaborate with domain experts to identify relevant features for modeling.
Model Evaluation and Optimization:
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Evaluate model performance using appropriate metrics and fine-tune models for optimal results. -
Implement and test algorithms for continuous model improvement.
Collaboration:
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Work closely with cross-functional teams, including data engineers, business analysts, and software developers. -
Translate business problems into analytical solutions and communicate findings effectively.
Documentation:
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Document data science methodologies, models, and findings for internal and external stakeholders. -
Ensure the reproducibility and transparency of data science workflows.
Minimum Qualifications:
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Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field. -
Minimum of 6 years of experience in data science and machine learning. -
Strong programming skills in Python and experience with data manipulation libraries, especially Numpy. -
Proven expertise in developing and deploying machine learning models in real-world applications. -
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries. -
Solid understanding of statistical modeling and experimental design. -
Excellent problem-solving and analytical skills. -
Effective communication and collaboration skills.
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