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B1 – Data Scientist  -  Kofax Accredited Developers

Requirement – 3

Mandatory –

• Accreditation of Kofax KTA / KTM
• Experience in Kofax Total Agility Development – 2-3 years minimum
• Ability to develop and translate functional requirements to design
• Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
• Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
• Application development using Kofax and KTM modules
• Good/Advance understanding of Machine Learning /NLP/ Statistics
• Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
• Excellent communication skills and collaborative attitude
• Work with multiple teams and stakeholders within like Analytics, RPA, Technology and Project management teams
• Good understanding of compliance, data governance and risk control processes

Total Experience – 7-10 Years in BPO/KPO/ ITES/BFSI/Retail/Travel/Utilities/Service Industry

Good to have

• Previous experience of working on Agile & Hybrid delivery environment
• Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services

Qualification -

• Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA 

Roles and Responsibilities:

• Design, develop, and maintain the end-to-end MLOps infrastructure from the ground up, leveraging open-source systems across the entire MLOps landscape.
• Creating pipelines for data ingestion, data transformation, building, testing, and deploying machine learning models, as well as monitoring and maintaining the performance of these models in production.
• Managing the MLOps stack, including version control systems, continuous integration and deployment tools, containerization, orchestration, and monitoring systems.
• Ensure that the MLOps stack is scalable, reliable, and secure.

Skills Required:

• 3-6 years of MLOps experience
• Preferably worked in the startup ecosystem

Primary Skills:

• Experience with E2E MLOps systems like ClearML, Kubeflow, MLFlow etc.
• Technical expertise in MLOps: Should have a deep understanding of the MLOps landscape and be able to leverage open-source systems to build scalable, reliable, and secure MLOps infrastructure.
• Programming skills: Proficient in at least one programming language, such as Python, and have experience with data science libraries, such as TensorFlow, PyTorch, or Scikit-learn.
• DevOps experience: Should have experience with DevOps tools and practices, such as Git, Docker, Kubernetes, and Jenkins.

Secondary Skills:

• Version Control Systems (VCS) tools like Git and Subversion
• Containerization technologies like Docker and Kubernetes
• Cloud Platforms like AWS, Azure, and Google Cloud Platform
• Data Preparation and Management tools like Apache Spark, Apache Hadoop, and SQL databases like PostgreSQL and MySQL
• Machine Learning Frameworks like TensorFlow, PyTorch, and Scikit-learn
• Monitoring and Logging tools like Prometheus, Grafana, and Elasticsearch
• Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, and CircleCI
• Explain ability and Interpretability tools like LIME and SHAP

• Power BI Report and Dashboard development.
• Building Analysis Services reporting models.
• Developing visual reports, KPI scorecards, and dashboards using Power BI desktop.
• Connecting data sources, importing data, and transforming data for Business intelligence.
• Analytical thinking for translating data into informative reports and visuals.
• Should have an edge over making DAX queries in Power BI desktop.
• Expert in using advanced-level calculations on the data set.
• SQL Server with SSAS is must.
• Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

About us: Nexopay helps transforming digital payments and enabling instant financing for parents, across schools and colleges world-wide.

Responsibilities:

• Work with stakeholders throughout the organisation and across entities to identify opportunities for leveraging internal and external data to drive business impact
• Mine and analyze data to improve and optimise performance, capture meaningful insights and turn them into business advantages
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Develop custom data models and algorithms to apply to data sets
• Use predictive modeling to predict outcomes and identify key drivers
• Coordinate with different functional teams to implement models and monitor outcomes
• Develop processes and tools to monitor and analyze model performance and data accuracy

Requirements:

• Experience in solving business problem using descriptive analytics, statistical modelling / machine learning
• 2+ years of strong working knowledge of SQL language
• Experience with visualization tools e. g., Tableau, Power BI
• Working knowledge on handling analytical projects end to end using industry standard tools (e. g., R, Python)
• Strong presentation and communication skills
• Experience in education sector is a plus
• Fluency in English

•  Strong problem-solving skills with an emphasis on product development.

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

Required Technical Skill Set:

• Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

• Experience using the full open source programming tools and utilities
• Experience in working in end-to-end data science project implementation.
• 2+ years of experience with development and deployment of Machine Learning applications
• 2+ years of experience with NLP approaches in a production setting
• Experience in building models using bagging and boosting algorithms
• Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
• Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
• Strong python skills following software engineering best practices
• Experience in using code versioning tools like GIT, bit bucket
• Experience in working in Agile projects
• Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
• Experience managing big data with efficient query program good to have
• Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
• Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
• Experience with Health care sector is preferred
• MS/M.Tech or PhD is a plus

• Actively engage with internal business teams to understand their challenges and deliver robust, data-driven solutions.
• Work alongside global counterparts to solve data-intensive problems using standard analytical frameworks and tools.
• Be encouraged and expected to innovate and be creative in your data analysis, problem-solving, and presentation of solutions.
• Network and collaborate with a broad range of internal business units to define and deliver joint solutions.
• Work alongside customers to leverage cutting-edge technology (machine learning, streaming analytics, and ‘real’ big data) to creatively solve problems and disrupt existing business models.

In this role, we are looking for:

• A problem-solving mindset with the ability to understand business challenges and how to apply your analytics expertise to solve them.
• The unique person who can present complex mathematical solutions in a simple manner that most will understand, including customers.
• An individual excited by innovation and new technology and eager to finds ways to employ these innovations in practice.
• A team mentality, empowered by the ability to work with a diverse set of individuals.

• A Bachelor’s degree in Data Science, Math, Statistics, Computer Science or related field with an emphasis on analytics.
• 5+ Years professional experience in a data scientist/analyst role or similar.
• Proficiency in your statistics/analytics/visualization tool of choice, but preferably in the Microsoft Azure Suite, including Azure ML Studio and PowerBI as well as R, Python, SQL.

• Excellent communication, organizational transformation, and leadership skills
• Demonstrated excellence in Data Science, Business Analytics and Engineering