About the job (Data Scientist)
Key responsibilities:
1. Working on data science projects and analytics.
2. Working on data models, AI, ML, deep learning, and NLP.
3. Working on data pipelines, ETL, ELT, and data warehouse.
4. Working on Python, its libraries, and advanced programming tasks.
5. Working on data collection, data management, data cleaning, data transformation, etc.
6. Working on data visualization like BI tools, Power BI, Kibana, and Google Data Studio.
7. Working on databases such as MongoDB, Neo4j, Dgraph, and SQ.
8. Working on cloud platforms like GCP, AWS, Azure, Linode, Heroku, etc.
Skill(s) required for Data Scientist
- Amazon Web Server (AWS)
- Amazon Web Services (AWS)
- Data Analytics
- Data Science
- Deep Learning
- Django
- Elasticsearch
- Flask
- Google Cloud Computing
- Machine Learning
- MongoDB
- Natural Language Processing (NLP)
- Power BI
- Python
- REST API
- SQL
- Tableau
Salary Probation:
- Duration: 6 months
- Location: Work From Home
- Salary during probation: ₹10,000 – 12,000 /month (only for freshers)
After probation:
Annual CTC: ₹ 3,00,000 – 5,00,000 /year
Number of openings
12 openings for Data Scientist
About Blackcoffer
Blackcoffer is an enterprise software and analytics consulting firm based in India and the European Union (Malta). It is a data-driven, technology, and decision science firm focused exclusively on big data and analytics, data-driven dashboards, applications development, information management, and consulting of any kind, from any source, on a massive scale.
We are a young and global consulting shop helping enterprises and entrepreneurs solve big data and analytics, data-driven dashboards, applications development, and information management problems to minimize risk, explore opportunities for future growth, and increase profits more effectively. We provide intelligence, accelerate innovation, and implement technology with extraordinary breadth and depth of global insights into big data, data-driven dashboards, application development, and information management for organizations by combining unique and specialist services and high-level human expertise.
