Exusia Logo

Exusia

Data Science / ML Data Engineer

Reposted 4 Days Ago
Remote
Hiring Remotely in United States
Senior level
Remote
Hiring Remotely in United States
Senior level
The role involves delivering advanced analytics and machine learning solutions, collaborating with stakeholders, and mentoring junior data scientists.
The summary above was generated by AI

Department:                             Sales and Delivery Team - Empower

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

Location:                                     United States

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 in the United States.


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 

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: [email protected] 

Top Skills

Alteryx
AWS
Azure
GCP
Pandas
Power BI
Python
R
Sagemaker
SAS
Scala
Spark
SQL
Tableau
TensorFlow
Torchserve

Similar Jobs

13 Hours Ago
Remote
United States
84K-192K Annually
Mid level
84K-192K Annually
Mid level
Aerospace • Information Technology • Cybersecurity • Defense • Manufacturing
Design, develop, and maintain embedded software for avionics, focusing on low-level development, high-integrity software, and integration testing.
Top Skills: Automotive StandardsBashCDo-178CLinuxMil-Hdbk-516CMil-Std-498Mil-Std-882Nasa-Std-5001Python
13 Hours Ago
Remote or Hybrid
United States
85K-100K Annually
Mid level
85K-100K Annually
Mid level
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
As a Channel Sales Representative, you'll drive revenue growth through partner engagement, identify sales opportunities, develop market strategies, and collaborate with teams for effective selling initiatives.
Top Skills: Crm SoftwareSales Reporting Tools
17 Hours Ago
Remote or Hybrid
United States
145K-180K Annually
Senior level
145K-180K Annually
Senior level
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
The Director will manage private equity investments, conduct due diligence, prepare investment memos, monitor fund performance, and mentor junior staff.
Top Skills: ExcelMicrosoft Office SuitePowerPoint

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account