Data Scientist & ML developer

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

Required Qualifications: (Education, Technical Skills/Knowledge)

• 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