Associate Data Scientist End to End Pipeline development of Machine Learning ML Ops
Associate Data Scientist End to End Pipeline development of Machine Learning ML Ops
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Job Description
As our team continues to expand rapidly we are seeking to hire an Associate Data Scientist. The ideal candidate will possess experience and skills in the following areas:
- Developing and implementing a machine learning solution for our Global Solutions team. This includes managing the entire lifecycle of machine learning models from their creation and testing to their deployment and monitoring on a large (global) scale.
- Utilizing Visas extensive data assets to create innovative datadriven analytical solutions. These solutions should combine business knowledge statistical rigor and problemsolving skills to address significant business challenges.
- Furthermore you will be responsible for extensive collaboration with regional stakeholders and counterparts in order to build scalable practice globally.
- Work as individual contributor who can develop/retrain exiting ML Solutions and build automated MLOps pipeline to scale regional models for Global Clients developing scalable Inferencing and Monitoring pipeline.
- Developing automated pipelines of MLOps component like model Inferencing model Validation for multiple models quality check and automated retraining if the model fails and selecting best models through a control/target framework.
- Experience in Marketing Models Customer Churn Model Multiclass Classification Model Models with Imbalances Dataset
- Strengths in Machine Learning Model Monitoring/Validation Basic Statistical Concepts OOPs and Functional Programming
- Experience with Clustering Classification and Regression ML Algorithms likes Random Forest XGBoost KMeans Logistic Regression etc.
- Understanding of metrics and statistical concept to develop and automate model monitoring and quality check framework
This position is located in Visas offices in Bengaluru India. It offers a fantastic opportunity for those looking to make a significant impact in the field of Data Science and Machine Learning.
Essential Functions
- Work in a team that generates business insights based on big data identify actionable recommendations and communicate findings
- Use statistical concepts predictive modeling and designing analytical framework to optimize customer experience revenue generation and other business outcomes.
- Work as a team in development implementation maintenance and redevelopment of machine learning models and implement ML Ops best practices. Ensure models are built with scalability flexibility and production deployment in mind.
- Create necessary validation and documentation to support the model approval process with the Model Risk Management group to make it production ready.
- Collaborate with Data engineers Data scientists and various groups within the organization to identify areas of improvement bottlenecks and build automation and reusable frameworks/processes.
Strategic and Functional Excellence
- Ability to translate data and technical concepts into requirements documents business cases and user stories.
- Resultsoriented with strong problemsolving skills and demonstrated intellectual and analytical rigor
- Good business acumen with a track record in solving business problems through datadriven quantitative methodologies.
- Very detailed oriented is expected to ensure highest level of quality/rigor in reports and data analysis
- Should have strong problemsolving capabilities and ability to quickly propose feasible solutions and effectively communicate strategy and risk mitigation approaches to leadership
- Demonstrated ability to incorporate new techniques to solve business problems
Stakeholder Management
- Strong interpersonal skills to build credibility with team members and leaders across the function as well as the organization
- Teamoriented collaborative and flexible with proven ability to build strong working relationships with internal and external partners
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 23 set days a week (determined by leadership/site) with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications :
Basic Qualifications
Bachelors degree OR 3 years of relevant work experience
Preferred Qualifications
Associate: 2 or more years of work experience
12 years of experience of development of robust and scalable AI/ML/Data Science solutions and products for large scale B2C applications
Bachelors degree in Statistics Operations Research Applied Mathematics Economics Data Science Business Analytics Computer Science Marketing Research or a related technical field
Handson experience with modern distributed systems such as Hadoop/SQL or Apache Spark
Handson experience with Python and other data analytics/programming tools such as Python
Handson experience in the application of predictive modeling machine learning techniques MLOps
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
