Data Scientist

Hi Dear Candidate!

As a Data Scientist in the team, you will be responsible for building and deploying machine learning models for multiple use cases such as Sales propensity models, forecasting, product and activity recommendation models to build smart pipelines for Sales teams. You will analyze and perform Text Analytics and provide insights on unstructured and structured data. Based on deep understanding and knowledge of data science and machine learning/AI techniques, you will develop and maintain models to improve customer and employee experience.

Responsibilities

• Work with Business stakeholders to understand Business requirements and desired business outcomes

• Perform exploratory data analysis on enterprise structured and unstructured data and explore data for training and building models

• Build and deploy machine learning inference models, monitor performance for models in production, remediate model drift

• Analyze results from models, perform Predictive and Prescriptive Analytics, generate insights and explain results to end users

• Integrate inference models with applications such as MS Dynamics

• Collaborate with team members to deliver innovative technologies, insights to Visa business units to save costs, facilitate data driven Business decisions, improve operations and efficiency gains.

• Research emerging trends and published papers in AI and Machine learning and apply learnings to solve Business problems

Qualifications

Basic Qualifications:

• 2 - 6 years of work experience with a Bachelor’s Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications :

• 3 or more years of work experience with a Bachelor’s Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)

• Master’s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field preferred

• 4+ years’ experience in data-based decision-making or quantitative analysis

• Extracting and aggregating data from large data sets using SQL/Hive or Spark

• Analyzing large data sets using programming languages such as Python, R, SQL and/or Spark

• Generating and visualizing data-based insights in software such as Tableau or Power BI

• Proficiency in data analytics, data mining, machine learning, and related fields.

• Knowledge of Text mining, Natural Language Processing, Pattern recognition, Deep Learning, Graph algorithms required

• Proficiency in Python, Jupiter notebooks required

• Proficiency in IBM Watson APIs and Opensource ML/AI frameworks like Tensorflow, Pytorch etc nice to have

• Experience in building inference model APIs and scaling APIs preferred

• Knowledge of Hadoop and components like Hive, Oozie, Sqoop, Airflow, Nifi, Spark

• Knowledge of Kafka, Airflow, Apache Flint, Spark Streaming, Microservices, Building data products nice to have

• Knowledge of Data engineering (ETL and ELT) and Data warehousing concepts nice to have

• Knowledge of relational and NoSQL, Graph database concepts, systems architecture, and data structures

• Proficiency in Linux, Windows, Databases (Oracle, Sql server), SQL, Graph database(Neo4j)

• Excellent communication skills