Data Science / ML Data Engineer

Exusia, Inc.; Miami (FL); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Excellent compensation package

Dynamic work culture

Job summary

A dynamic technology consulting firm in Miami, Florida is looking for a Data Scientist to join their team. The role involves delivering advanced analytics and machine learning solutions to clients, collaborating with various stakeholders, and mentoring junior resources. The ideal candidate should have over 6 years of relevant experience, strong skills in SQL, Python, and machine learning algorithms, as well as a solid educational background in engineering or a related field. Offers competitive compensation and benefits.

Qualifications

• 6+ years of experience in Business Intelligence, Analytics, and Machine Learning.
• Extensive hands-on experience with SQL for data analysis.
• Proficiency in data mining using tools like R and Python.

Responsibilities

• Architect and deploy scalable Machine Learning models.
• Deliver data insights using AI and advanced analytics techniques.
• Collaborate with stakeholders to solve business problems.

Skills

Data Analysis using SQL

Machine Learning techniques

Data Mining with Python/R

Visualization with Tableau/PowerBI

Document Processing with OCR

Statistical Foundations

Cloud Platforms (AWS, Azure, GCP)

Education

Master/Bachelor of Engineering or Equivalent

Tools

Python

SAS

Alteryx

TensorFlow

Job description

## Data Science / ML Data EngineerUnited States · Full-time · Senior#### About The Position**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**: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. Candidate should have more than 6 years of experience with broad exposure to Data Engineering, Data Mining, Business Intelligence & Machine learning#### RequirementsResponsibilities:* 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 communityMandatory 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 skillsNice-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 setsExusia, Inc. is committed to maintaining a dynamic work culture. We offer an excellent compensation and benefits package to all employees.**About Exusia:**Exusia () 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: [e-mail]