Padmi

Data Scientist | 3-5 YOE | Bangalore Candidates | Notice Period (Bengaluru)

BangalorePosted 1 month ago
Data Science And StatisticsMid-levelFull Time; Regular
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About the Role Our client is looking for a skilled Data Scientist with 35 years of experience in analyzing complex datasets, building predictive models, and deriving actionable insights. The ideal candidate will have strong expertise in statistical analysis, machine learning, and data storytelling, along with the ability to translate business problems into data-driven solutions. Key Responsibilities - Analyze large and complex datasets to extract meaningful insights - Build and deploy predictive and statistical models for business applications - Perform data cleaning, preprocessing, and exploratory data analysis (EDA) - Apply machine learning techniques to solve real-world problems - Collaborate with cross-functional teams to understand business needs and deliver data-driven solutions - Develop dashboards, reports, and visualizations to communicate findings - Conduct A/B testing and statistical experiments - Optimize models for performance, scalability, and accuracy - Stay up to date with the latest tools, techniques, and trends in data science Required Skills & Qualifications - Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or related field - 35 years of experience in data science or analytics roles - Strong programming skills in Python (mandatory) or R - Experience with ML libraries such as Scikit-learn, TensorFlow, or PyTorch - Solid understanding of: - Statistics and probability - Machine learning algorithms - Data modeling techniques - Experience with data manipulation tools like Pandas, NumPy - Proficiency in SQL for data querying and analysis - Experience with data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn Preferred Qualifications - Experience with big data technologies like Apache Spark or Hadoop - Familiarity with cloud platforms like AWS, Azure, or Google Cloud - Knowledge of MLOps practices and tools - Experience with NLP, time series analysis, or recommendation systems - Exposure t .

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