Data Science / ML Data Engineer

1 Minute ago • 6 Years + • Data Analysis

Job Summary

Job Description

Exusia, a cutting-edge digital transformation company, seeks a Data Scientist to join our global delivery team's Data Engineering & Analytics practice. The role focuses on delivering best-of-breed solutions leveraging Advanced Analytics & Machine Learning tools. The candidate will also contribute to Competency development and innovation through internal initiatives. This position requires over 6 years of experience with broad exposure to Data Engineering, Data Mining, Business Intelligence, and Machine Learning.
Must have:
  • Deliver Data insights using AI, ML, and Advanced analytics techniques.
  • Architect, Build & Deploy scalable Machine Learning models on premise & cloud.
  • Identify problem statements and appropriate solutions for insights.
  • Work closely with data engineering teams to source and ingest data.
  • Propose solutions to translate semi-structured/unstructured data into structured format.
  • Collaborate with S & D leadership to execute ML POCs for quick wins.
  • Provide mentorship to junior resources within the data scientist community.
  • 6+ years experience in Business Intelligence, Analytics, and Machine Learning.
  • Extensive hands-on experience analyzing data with SQL.
  • Experience in data mining large data sets using SAS / R / Python.
  • Experience using Alteryx or Python libraries like Pandas for data preprocessing.
  • Experience using BI tools like Tableau or PowerBI for visualization.
  • Document processing using OCR conversion techniques.
  • Strong fundamentals in statistics for building and validating ML models.
  • Understanding of Supervised, Unsupervised, and Reinforcement learning approaches.
  • Strong experience in Regression / Classification / Clustering algorithms.
  • Build models using R, Python, or Cloud native ML offerings.
  • Deploy ML models at scale using TensorFlow Serving, Sagemaker, Torchserve.
  • Problem-solving skills along with good interpersonal & communication skills.
Good to have:
  • Exposure to Azure, AWS and Google Cloud Platforms ML service offerings
  • Experience working with teams located globally
  • Knowledge of Data repositories, Databases, ETL, BI tools, Hadoop, cloud platforms
  • Agile development experience & collaborating with data engineering teams
  • Familiarity with Spark, Scala and distributed data processing platforms
  • Ability to work with Jupyter / Databricks notebooks
Perks:
  • Excellent compensation and benefits package

Job Details

Description

Department: Sales and Delivery Team - Empower

Industry: Information Technology & Services, Computer Software, Management Consulting

Experience Range: 6+ years

Basic Qualification: Master/Bachelor of Engineering or Equivalent

Travel Requirements: Not required

Website: www.exusia.com

Exusia, a cutting-edge digital transformation company, seeks a Data Scientist to join our global delivery team's Data Engineering & Analytics practice.

What’s the Role?

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. Candidate should have more than 6 years of experience with broad exposure to Data Engineering, Data Mining, Business Intelligence & Machine learning

Requirements

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

Mandatory Skills:

  • 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-Have Skills

  • 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

Exusia, Inc. is committed to maintaining a dynamic work culture. We offer an excellent compensation and benefits package to all employees.

About Exusia:

Exusia (http://www.exusia.com/) is a global technology consulting company that empowers its clients to gain a competitive edge by accelerating business outcomes and providing strategy and execution capabilities around digital, analytics and cloud solutions. The company has established its leadership position by solving some of the world's largest and most complex data engineering and analytical problems in the healthcare, financial, telecommunications, consumer products and high technology industries.

Exusia’s mission is to transform the world through the innovative use of information.

Over the past 3 years, Exusia was recognized by Inc. 5000 and by Crain’s publications as one of the fastest growing privately held companies in the world. Since the company’s founding in 2012, Exusia has experienced an impressive seven years of revenue growth and has expanded its operations in the Americas, Asia and Africa. Exusia has recently also been recognized by publications such as the CIO Review, Industry Era, Insight Success and the CIO Bulletin for the company’s innovation in IT Services, the Telecommunications and Healthcare industries and it's entrepreneurship. The company is headquartered in Miami, Florida, United States with development centers in India.

Interested applicants should apply by forwarding their CV to: elevate@exusia.com

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About The Company

Exusia (ex-OO-see-ah), A Globant Division has the mission of transforming the world through the innovative use of information. Exusia is an ISO 27001 certified technology solutions company that empowers its clients to gain a competitive edge by accelerating business objectives and providing solutions in artificial intelligence, cloud computing, data engineering and digital transformation. Exusia is a leader in end-to-end data strategy, execution and managed services offerings, leveraging its team of business strategy, analytics and data engineering experts along with cutting edge hosted software as a service accelerators to deliver to clients. Exusia was founded in 2012 and now provides services in IT Strategy, AI Enablement, Data Governance, Data Engineering, Cloud Migration and Mainframe Modernization to the Globant client base as apart of the Data & Artificial Intelligence Studio. Globant has over 30,000 employees providing services to clients in 34 countries across world.

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