What are the responsibilities and job description for the Data Scientist position at Saanvi Technologies?
Job Summary:
We are seeking a highly skilled Data Scientist with a strong foundation in Data Engineering to join our dynamic team. The ideal candidate will possess a deep understanding of data manipulation, analysis, and modeling, coupled with robust data engineering capabilities. This role is pivotal in transforming raw data into actionable insights that drive business decisions.
Responsibilities:
- Develop and implement data models and algorithms to analyze large datasets.
- Collaborate with cross-functional teams to understand data requirements and deliver data-driven solutions.
- Design and maintain scalable data pipelines and architectures to support data processing and analysis.
- Utilize statistical methods to analyze data and generate useful business insights.
- Communicate findings and insights to stakeholders through data visualization and reporting.
- Continuously improve data collection and processing techniques to enhance data quality and efficiency.
- Stay updated with the latest industry trends and technologies in data science and engineering.
Mandatory Skills:
- Proven experience in Data Engineering, including data pipeline development and ETL processes.
- Strong proficiency in programming languages such as Python, R, or Scala.
- Expertise in SQL and database management systems (e.g., PostgreSQL, MySQL, or NoSQL databases).
- Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
- Solid understanding of machine learning algorithms and statistical modeling techniques.
- Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) for data storage and processing.
Preferred Skills:
- Experience with big data technologies (e.g., Hadoop, Spark).
- Knowledge of data governance and data quality frameworks.
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Experience in deploying machine learning models in production environments.
- Strong problem-solving skills and ability to work in a fast-paced environment.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
- 7-10 years of relevant experience in data science and data engineering roles.
- Strong analytical and critical thinking skills.
- Excellent communication and collaboration skills.