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Data Scientist & ML developer
4-8 years
Kolkata, Mumbai, New Delhi + 4 more
1 vacancy
Data Scientist & ML developer
Response Informatics
posted 10hr ago
Job Role Insights
Fixed timing
Key skills for the job
Job Description
- Data Collection: Gathering and analyzing data from different source systems (databases, spreadsheets, etc.) and ensure it is accurate, complete, and usable for predictions.
- Data Analysis : Analyzing datasets to uncover patterns, trends, correlations, and anomalies.
- Modeling & Algorithms : Developing machine learning models (supervised, unsupervised, reinforcement learning, etc.) to solve specific business problems, such as predicting customer expected recommendations,
- Present data insights and model outcomes in an easily understandable format using charts, graphs, and dashboards.
- Deployment & Monitoring: Implementing machine learning models into production systems and monitoring their performance over time.
- Analyze provided data and develop, train, and deploy machine learning models into production environments.
- Hands on Experience on Data analysis and Machine learning Algorithms with real use cases implemented in different commercial systems.
- Preferably having knowledge in telecom OSS domain especially CM area
- Development and deployment experience on Linux and Windows platforms
- Working closely with customer and local teams to understand the problem space, gather requirements, and communicate findings.
- Strong design, implementation, and debug skills.
- Acts as a mentor for team members
- Good communication and team working skills
- Bachelor or Master degree in CSE/ECE/EEE/EI/IT
- 4 to 8 years software consulting experience (implementing enterprise software solutions for customers) including direct customer contact
- Proficiency in Python, Postgres, SQL etc. Python with expertise in Pandas, NumPy, Scikit-learn.
- Data Manipulation & Analysis: Strong skills in data analysis, and identifying uncovered patterns and trends transforming data using tools like Pandas.
- Machine Learning: Experience with various machine learning algorithms (e.g., regression, decision trees, random forests, Bayesian, neural networks, etc.) and the ability to select the right approach based on the problem.
- Mathematics & Statistics: Good to have understanding of probability, statistics, and linear algebra for building models and interpreting results.
- Ability to use tools like Matplotlib for presenting results
- Develop and design python programs, fastAPI based micro services based on customer requirements.
- Knowledge and experience with the professional services project lifecycle (scoping, requirements, construction, QA/test)
- Experience in Telecom SW Domain
- Strong written and verbal communications skills
Employment Type: Full Time, Permanent
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Response Informatics Benefits
Job Training 
Soft Skill Training 
Work From Home 
Health Insurance 
Team Outings 
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