Data Science / ML Data Engineer

Exusia

181d

About The Position

Exusia, a cutting-edge digital transformation company, seeks a Data Scientist to join our global delivery team's Data Engineering & Analytics practice in the United States. The Data Scientist role will be part of our Data Engineering & Analytics practice and will be focused on delivering best of breed solutions to our clients leveraging Advanced Analytics & Machine Learning tools and techniques. The candidate will also be part of the practice team and contribute to Competency development, driving innovation through various internal initiatives within the company.

Requirements

• Should have 6+ years of experience working in Business Intelligence, Analytics and Machine Learning
• Extensive hands-on experience analyzing data with SQL
• Experience in data mining of large data sets using tools like SAS / R / Python to identify patterns
• Experience in using tools like Alteryx or Python libraries like Pandas for preprocessing & cleaning data
• Experience using BI tools like Tableau or PowerBI for self-service analysis and Visualization of data
• Document processing using OCR conversion techniques
• Collaborate with data engineering teams to ingest unstructured & semi structured data into data lakes
• Identify data sets, attributes and patterns to propose appropriate ML approach for a given problem
• Strong fundamentals in statistics and its application for building and validating ML models
• Understanding of Supervised, Unsupervised and Reinforcement learning approaches
• Strong experience in using Regression / Classification / Clustering algorithms and their application for appropriate use cases
• Build models using R, Python or Cloud native ML offerings from AWS, AZURE and GCP platforms
• Deploy ML models at scale using tools like TensorFlow Serving, Sagemaker, Torchserve
• Problem-solving skills along with good interpersonal & communication skills

Nice To Haves

• Exposure to Azure, AWS and Google Cloud Platforms with hands on exposure to ML service offerings
• Experience working with teams located in multiple locations across the globe
• Knowledge and understanding of various Data repositories, Databases, ETL and BI tools and data assets hosted on Hadoop or cloud platforms
• Agile development experience & collaborating with data engineering teams
• Familiarity with Spark, Scala and distributed data processing platforms will be a big advantage
• Ability to work with tools like Jupyter / Databricks notebooks to interactively work with data sets

Responsibilities

• Work on client projects to deliver Data insights using AI, ML and Advanced analytics techniques
• Architect, Build & Deploy scalable Machine Learning models both on premise & on cloud platforms
• Work with the business stakeholders to Identify problem statement, check availability of data and identify appropriate solutions to provide insights to address the problems and deliver better outcomes
• Work closely with the data engineering teams to source and ingest data into data lakes
• Look at semi structured and unstructured data and propose solutions to translate them into structured data format to provide better insights
• Collaborate with S & D leadership to propose and execute ML POCs to deliver quick wins for the clients
• Providing mentorship to junior resources within the data scientist community

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Master's degree
• Number of Employees: 251-500 employees