Location - Kolkata Role - Data Scientist Experience - >1.5 years Responsibilities 1. Working on data engineering and cloud platforms 2. Working on data visualization platforms and ETL 3. Working on web scraping, SQL, Python, etc. 4. Understanding the technology used to build the process 5. Understanding our business processes - Analyze large datasets to extract actionable insights using statistical analysis, machine learning , and data mining. - Develop and implement predictive models and algorithms, ensuring data quality and processing efficiency. - Communicate complex data findings to stakeholders in a clear and effective manner. - Proficient in programming (Python/R), with experience in SQL, TensorFlow, and data visualization tools (e.g., Tableau). Analytical Thinking, Team Player, Ownership and Initiative, Adaptability Qualifications Bachelor's degree in a relevant field. Proficiency in programming languages such as Python. Experience with data manipulation, statistical analysis, and machine learning libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, or PyTorch). Knowledge of SQL for data extraction and manipulation.
Location - Kolkata Experience : >1.5 years Responsibilities 1. Working on data engineering and cloud platforms 2. Working on data visualization platforms and ETL 3. Working on SQL, Python and Machine Learning 4. Understanding the technology used to build the process 5. Understanding our business processes - Analyze large datasets to extract actionable insights using statistical analysis, machine learning, and data mining. - Develop and implement predictive models and algorithms, ensuring data quality and processing efficiency. - Communicate data findings to stakeholders in a clear and effective manner. - Proficient in programming (Python/R), with experience in SQL, TensorFlow, and data visualization tools (e.g., Tableau). Analytical Thinking, Team Player, Ownership and Initiative, Adaptability Qualifications Bachelor's degree in a relevant field. Proficiency in programming languages such as Python. Experience with data manipulation, statistical analysis, and machine learning libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, or PyTorch). Knowledge of SQL for data extraction and manipulation.
Location - Bengaluru Experience : 1 - 2 Years Key Responsibilities • Design, develop, and maintain interactive dashboards and reports using Tableau. • Write efficient SQL queries to extract, clean, and manipulate data from various sources. • Collaborate with cross-functional teams to gather and translate business requirements into effective BI solutions. • Assist in data validation, testing, and ensure accuracy and quality of reports. • Optimize dashboards for performance, scalability, and usability. • Document solutions, data models, and business logic for future reference. Required Skills & Qualifications • 1–2 years of professional experience in BI/Data Analytics roles. • Proficiency in writing complex SQL queries (including joins, aggregations, and CTEs). • Hands-on experience with Tableau Desktop for dashboard creation and data visualization. • Understanding of data modeling concepts and ETL workflows. • Strong analytical and problem-solving skills. • Excellent communication and documentation abilities. Preferred Skills • Exposure to Tableau Server or Tableau Cloud. • Experience with other BI tools (e.g., Power BI, Qlik). • Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or databases such as Snowflake or BigQuery.
Location - Bengaluru Experience : 3-5 years Job Requirements • Write efficient, optimized SQL queries to extract, transform, and analyze large datasets from relational and cloud-based data warehouses. • Develop, test, and deploy data science models using Python and relevant libraries (e.g., pandas, scikit-learn, NumPy). • Build and maintain automated data pipelines for preprocessing and model inference. • Deploy machine learning models and APIs on cloud platforms (AWS, GCP, or Azure). • Collaborate with data engineers and DevOps to ensure scalable and production-ready solutions. • Monitor deployed models for performance, drift, and reliability; set up alerting and logging as needed. • Work with cross-functional teams to translate business needs into actionable data science solutions.
Location - Bengaluru Experience : 2-4 years Job Requirements • Write efficient, optimized SQL queries to extract, transform, and analyze large datasets from relational and cloud-based data warehouses. • Develop, test, and deploy data science models using Python and relevant libraries (e.g., pandas, scikit-learn, NumPy). • Build and maintain automated data pipelines for preprocessing and model inference. • Deploy machine learning models and APIs on cloud platforms (AWS, GCP, or Azure). • Collaborate with data engineers and DevOps to ensure scalable and production-ready solutions. • Monitor deployed models for performance, drift, and reliability; set up alerting and logging as needed. • Work with cross-functional teams to translate business needs into actionable data science solutions.