Data Scientist (Python, ML, SQL) in Bengaluru, India - Jobeax
Vacancy description
Data Scientist (Python, ML, SQL) in Bengaluru, India
anko gcc
India, Bengaluru
Data Scientist (Python, ML, SQL) in Bengaluru, India is listed on Jobeax. Browse 30,000+ vacancies available.
Brighter futures start here
At Anko you'll be joining a diverse team who come together to collaborate globally around tech. We are an innovation hub which power and support our retail brands. You'll feel the impacts of the work you'll do for our millions of customers and team members every day. Our brands are focused on being customer-led, digitally enabled retailers, providing you with challenging and rewarding work that you will be proud of.
Join our team, choose your own path and work on projects that excite you.
The Data and Analytics team drives competitive advantage by providing the best-in-class data, analytics, and insights for the Kmart Group. By using the latest cloud platforms tools, data engineering practices, and data science methods, the team is paving the way for a data culture within the organization, which leads to improved sales, cost savings, and customer satisfaction.
The team works with various functions and acts as a critical enabler of Kmart's strategic priorities, such as creating a single view of the customer, digital supply chain, lowest price leadership, new categories, and new formats.
What You'll Be Doing
Development & deployment of solutions that leverage data sciences & advanced analytics to drive incremental value for a retail business
Analyse and model structured data using advanced statistical methods and implement algorithms and software needed to perform analysis
Mine multiple data sets including large data sets through clustering & capture thematic trends
Desired Qualification And Work Experience
2+ years of relevant experience in advanced analytics role preferably in Retail / CPG domain.
Should have worked on projects / initiatives in merchandizing analytics, digital analytics
Prior experience in machine learning & big data analytics necessary.
Experience in productionalization of analytics products will be a plus Track record in managing deliveries of advanced analytical solutions in an agile & iterative model.
Expertise in tools required to execute a data science project - SQL, Python, R, ML algorithms
Expertise in using Cloud solutions(AWS, Azure, etc.) for deploying data science projects
Synthesizing findings and insights through effective story telling through visualization tools such as Power BI /Tableau
Detail-oriented team player with strong interpersonal skills and ability to take a leadership role when necessaryExcellent ideation, facilitation and communications skills
A place you can belong
We celebrate the rich diversity of the communities in which we operate and are committed to creating inclusive and safe environments where all our team members can contribute and succeed. We believe that all team members should feel valued, respected, and safe irrespective of your gender, ethnicity, indigeneity, religious beliefs, education, age, disability, family responsibilities, sexual orientation and gender identity and we encourage applications from all candidates.
... and scalable data infrastructure and data products in complex environments Development experience in one or more object-oriented programming languages (e.g. Python, Scala, Java, C#) Experience with SQL and noSQL database fundamentals, query structures and design best practices, including scalability, readability, and reliability ...
... Bachelor's degree (preferably in Computer Science, Mathematics, Data Science, or a related field). - 3-6 years of overall experience in software development and data analysis. - Hands-on experience in Python for application development. - Strong proficiency in SQL for data analysis and query generation. - Experience with hosted ...
... Computer Science, IT, Data Science, Mathematics, or a related field (Recent graduates from batch [Year] are welcome). Python: Solid foundational knowledge of Python programming (data structures, loops, functions, basic libraries like Pandas). PostgreSQL (SQL): Basic understanding of relational databases, table design, and ...
... ability to design, build, and operate Data Lakes or Data Warehouses. Proficiency with Data Orchestration tools (Airflow, Dagster, Prefect). Familiarity with Change Data Capture tools (Canal, Debezium, Maxwell). Strong command of at least one primary language (Scala, Python, etc.) and SQL. Experience with data catalog and metadata ...
... and development Data quality validation and monitoring Schema design for analytics and reporting Performance optimization and scalability Preferred Experience Databricks Delta Lake experience Azure Synapse Analytics Python for data engineering Spark SQL optimization Real-time data streaming Data governance and metadata management ...
... and lead our push into streaming and real-time fraud detection. We run on AWS and make extensive use of Scala Spark, dbt, and Terraform. Build and expose the data lake/lakehouse so teams can understand business and product performance and make better decisions. Design and evolve a data platform that enables scientists and ...
... team. The role will involve building and maintaining data pipelines and collaborating closely with stakeholders. Key responsibilities Design and develop scalable data pipelines using AWS services. Implement ETL processes with AWS Glue, Lambda, and DBT. Work with PySpark and SQL to transform and cleanse data. Configure and manage ...
... inquiries related to Addepar's portfolio data feeds and on general data product functionalities within established SLAs. Manage and complete requests from internal Data teams that require client outreach and/or action to resolve data verification issues. Investigate client reported bugs and data processing issues, and triage ...
... Warehousing - 2+ years of hands-on experience with SSAS Tabular Models - Experience designing data ingestion and orchestration pipelines using Kafka, Snowflake, and Python - Hands-on experience with DBT for data modeling and pipeline development - Strong knowledge of SQL, ETL/ELT, Azure Data Factory, APIs, Azure Functions, and ...
... Troubleshoot and debug data-related issues. Required Skills Strong proficiency in Python. Experience with data libraries like Pandas, NumPy. Hands-on experience with SQL and relational databases. Knowledge of data visualization tools (Matplotlib, Seaborn, or similar). Experience in building data pipelines or ETL processes. Familiarity ...
... demonstrate technical and non-technical information, ideas, procedures, and processes Prior experience in an SAP and/or Informatica driven environment Ability to use SQL to analyze data Bachelor's degree related to Information Systems, Business or other relevant academic discipline with a minimum 4 years job experience in IT or ...
... a related field (Master's degree preferred). Core Technical Skills: Python, PySpark, Databricks, Google ADK, LLMs, FastAPI, Spring Boot, Microservices, Kafka, SQL, Data Mesh, Starburst. Infrastructure and Cloud: Kubernetes, OpenShift, Docker, Cloud-Native Infrastructure, CI/CD pipelines. Industry Context: Data engineering ...
... optimize model performanceRequired Skills:- Strong experience in Python- Hands-on experience in Machine Learning, NLP, or Deep Learning- Good understanding of ML algorithms, statistics, and model evaluation techniques- Experience working with APIs, databases, and data pipelines- Familiarity with SQL and data processing- ...
... models - Hands-on experience working with large language models, building agents, prompt engineering, or model fine-tuning techniques. - Strong proficiency in Python & Data Science Toolkit - Extensive experience with Python-based data science tools and machine learning frameworks. Benefits & Perks - Excellent group health ...
Role Overview :The Senior Data Scientist, Product Analytics is a hands-on technical contributor and task manager within a cross-functional product team. This role sits at the intersection of deep technical execution and emerging AI https://jobeax.com/link/f9LyLs7glaUomOJP And Qualifications :- 5 - 7 years of experience ...
Role Overview : As a commercially savvy Lead Data Scientist, you will lead your team on client briefs whilst collaborating closely with consultants and Trade Partner stakeholders. You'll bring fresh ideas and innovative thinking to push the boundaries of what's possible with consumer analytics. You will drive AI excellence ...