Machine Learning (ML)
Data ScienceWork Location - Bangalore
The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.
Responsibilities:
- Build and enhance the software stack for modelling and data analytics
- Incorporate relevant data related algorithms in the products to solve business problems and improve them over time
- Automate repetitive data modelling and analytics tasks
- Keep up to date with available relevant technologies, to solve business problems
- Become a subject matter expert and closely work with analytics users to understand their need & provide recommendations/solutions
- Help define/share best practices for the business users and enforce/monitor that best practices are being incorporated for better efficiency (speed to market & system performance)
- Share daily/weekly progress made by the team
- Work with senior stakeholders & drive the discussions independently
- Mentor and lead a team of software developers on analytics related product development practices
Qualifications:
- 10-13 years of data engineering experience.
- Experience in working on machine-learning model deployment/scoring, model lifecycle management and model performance measurement.
- In-depth understanding of statistics and probability distributions, with experience of applying it in big-data software products for solving business problems
- Hands-on programming experience with big-data and analytics related product development using Python, Spark and Kafka to provide solutions for business needs.
- Intuitive with good interpersonal-skills, time-management and task-prioritization
- Ability to lead a technical team of software developers and mentor them on good software development practices.
- Ability to quickly grasp the business problem and nuances when put forth.
- Ability to quickly put together an execution plan and see it through till closure.
- Strong communication, presentation and influencing skills.
Education:
- Bachelor’s/University degree or equivalent experience
- Data Science or Analytics specialization preferred
Shubham Vishwakarma
Full Stack Developer - Averlon
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- kubernetes is important
- Strong understanding of async frameworks (e.g., asyncio)
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon