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Senior Data Scientist - Python Job Opening In Bengaluru – Now Hiring BLJ TECH GEEKS


Job description

<p><p>We are seeking a highly skilled and experienced Senior Data Scientist to lead the development and deployment of advanced data-driven solutions.<br/><br/>The ideal candidate will have strong expertise in machine learning, statistical modeling, and data engineering, combined with the ability to translate complex data insights into actionable business strategies.<br/><br/>This role requires hands-on technical skills, leadership capabilities, and a passion for solving challenging problems with data.</p><br/><p><b>Key Responsibilities : </b><br/><br/></p><p>- Lead end-to-end data science projects, from problem definition and data collection to modeling, evaluation, and deployment.<br/><br/></p><p>- Apply advanced statistical and machine learning techniques to develop predictive, prescriptive, and descriptive models.<br/><br/></p><p>- Collaborate with business stakeholders to understand challenges and design data-driven solutions that align with business goals.<br/><br/></p><p>- Work closely with data engineers to ensure data availability, quality, and scalability of data pipelines.<br/><br/></p><p>- Conduct exploratory data analysis (EDA) to extract insights and identify opportunities for optimization and growth.<br/><br/></p><p>- Develop, validate, and optimize machine learning models for real-world deployment.<br/><br/></p><p>- Communicate findings clearly and effectively to both technical and non-technical stakeholders through presentations, reports, and visualizations.<br/><br/></p><p>- Mentor junior data scientists and analysts, fostering a culture of learning and innovation within the team.<br/><br/></p><p>- Stay up to date with emerging technologies, algorithms, and tools in the field of AI, ML, and data science.<br/><br/></p><p>- Drive experimentation and innovation to continuously improve models and methodologies.</p><br/><p><b>Required Skills & Qualifications : </b><br/><br/></p><p>- Masters or PhD in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.<br/><br/></p><p>- 610 years of proven experience as a Data Scientist with expertise in developing and deploying ML models.<br/><br/></p><p>- Strong programming skills in Python and experience with ML/DL libraries such as Scikit-learn, TensorFlow, PyTorch, and XGBoost.<br/><br/></p><p>- Proficiency in SQL and experience with large-scale data handling.<br/><br/></p><p>- Deep understanding of statistical methods, hypothesis testing, and experimental design.<br/><br/></p><p>- Hands-on experience with cloud platforms such as AWS, Azure, or GCP for model deployment.<br/><br/></p><p>- Strong problem-solving, critical thinking, and analytical skills.<br/><br/></p><p>- Excellent communication skills with the ability to explain technical concepts to non-technical audiences.</p><br/><p><b>Preferred Qualifications : </b><br/><br/></p><p>- Experience with big data technologies (Spark, Hadoop, Databricks).<br/><br/></p><p>- Knowledge of MLOps practices, including model versioning, CI/CD for ML, and monitoring.<br/><br/></p><p>- Familiarity with business domains such as finance, e-commerce, healthcare, or telecommunications.<br/><br/></p><p>- Strong publication record, participation in Kaggle competitions, or contributions to open-source projects</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Mathematical Science Occupations


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The Work Culture

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