Impact Analytics
3 hours ago
Job Description :
Key Responsibilities :
Strategic Problem Solving :
- Understand business objectives and translate them into data science problems.
- Provide expert-level solutions with a strong focus on forecasting methodologies.
Pipeline and Model Development :
- Design, develop, and maintain robust data processing pipelines.
- Create reproducible modeling pipelines for scalability and efficiency.
Data Analysis and Insights :
- Explore and analyze data to extract actionable insights.
- Clearly communicate findings to stakeholders, providing data-driven recommendations.
Team Leadership :
- Manage and mentor a team of Data Scientists and Senior Data Scientists.
- Foster a collaborative environment that encourages innovation and growth.
System Integration :
- Build and integrate predictive models into analytic systems.
- Test the performance of data-driven solutions in real-world scenarios.
Qualifications and Skills :
Essential Requirements :
Experience :
- 4-6 years in Data Analytics, model development, and deployment.
- Proven ability to apply forecasting techniques effectively.
- Hands-on experience with SQL, R, Python, and Hadoop.
- Skilled in developing predictive analytics and machine learning algorithms.
- Familiarity with libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, and Pandas.
- Experience with cloud platforms such as AWS, Azure, or GCP for data science workflows.
- Data Management : Strong knowledge of data visualization and management techniques using tools like Tableau, Power BI, or Matplotlib.
Educational Background :
- Bachelor's degree (B. Tech/BE) in Computer Science, Data Science, Mathematics, or a related field.
Preferred Qualifications :
- Understanding of business applications and the integration of analytics into business operations.
- Familiarity with deploying analytic solutions at scale.
- Exposure to Natural Language Processing (NLP) techniques and tools.
- Knowledge of Big Data technologies like Spark or Kafka.
- Certification in Data Science or related fields, such as Certified Analytics Professional (CAP) or Google Data Engineer
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