Perform EDA and analyze large retail datasets to develop, deploy, and monitor predictive models. Build data pipelines with Spark, collaborate with ML engineers and stakeholders, and communicate insights to non-technical audiences.
Work Location: Pune, India
Position Overview:We are seeking a talented Mid-Level Data Scientist to join our dynamic team. The ideal candidate will have a strong analytical background and the ability to translate complex data into actionable insights. This role involves collaborating with cross-functional teams to enhance our data-driven decision-making processes, particularly within the retail sector.
Responsibilities:- Analyze large datasets to identify trends, patterns, and insights that drive business strategy.
- Develop and implement predictive models and statistical analyses to support decision-making.
- Conduct exploratory data analysis (EDA) to uncover meaningful insights and effectively communicate findings.
- Collaborate with stakeholders to define data requirements and deliver analytical solutions.
- Visualize data and present findings to non-technical audiences in a clear and compelling manner.
- Identify patterns, issues, and augmentation techniques to support ML engineers in building AI/ML models.
- Participate in the design and development of data pipelines using Spark and other big data technologies.
- Monitor and maintain the performance of deployed models and analytics solutions.
- Stay updated on industry trends and best practices in data science and big data technologies.
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (Master’s degree is a plus).
- 3-5 years of experience in data science or a related role.
- Proficiency in programming languages such as Python, NumPy, Scikit-learn, TensorFlow, PyTorch, or Scala.
- Experience with big data technologies (e.g., Hadoop, Spark).
- Strong understanding of statistical models and machine learning techniques.
- Strong EDA (Exploratory Data Analysis) capabilities with a knack for storytelling through data.
- Experience in the retail sector is highly desirable.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills, with the ability to convey complex information effectively.
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