Data Scientist

  • Full Time
  • USA

Website Ness Digital Engineering

Risk Focus, a Ness Company, provides strategic IT consulting to global enterprises. Our DevOps and Infrastructure practice provides solutions, methodologies, and strategic guidance for digital transformation, containerization, and automation. Our Financial Services team offers strong domain expertise and technology acumen to deliver feature-focused solutions in Capital Markets.

We solve complex business problems with technology and insight. Our business domain knowledge, technology expertise, and Agile delivery process have delivered seamless Digital Transformations at some of the largest customers globally. We’re an AWS Advanced Consulting Partner, a Premier Confluent Systems Integrator and a Snowflake Select Services Partner.

As a Data Scientist you will:

Serve as an individual contributor on data science projects for Ness clients across multiple industry verticals: financial services, digital media, manufacturing, and others.
Contribute to the success of data science and ML projects providing expertise in multiple of the following:System architecture
Data cleansing
Data wrangling
Feature generation and selection
Model development and testing

Strong Python skills (Numpy, Pandas, Scikit-learn, etc)
Strong quantitative skills
Experience with data collection, cleaning, and ETL processes
Experience with commonly used machine learning algorithms
UNIX/Linux skills including shell scripts and system administration
Excellent verbal and written communication skills
Strong database skills with both SQL-based relational databases as well as NoSQL
Additional Desired Skills:

Experience with machine learning projects on AWS and/or Azure
Programming languages including Java, Scala, C++, C#, JavaScript, R
Data warehouse technologies such as Snowflake, AWS Redshift, and/or Azure Synapse Analytics
Experience with AWS ML technologies such as SageMaker
Knowledge of deep learning, NLP or big data analytics tools (e.g., Apache Spark, DataBricks) is a plus
Experience with streaming data analytics using Kafka, Kinesis Streams, or similar
Education and Certification Requirements:

An undergraduate degree in a STEM discipline is usually required.
Graduate degree (MS or PhD in Data Science, Statistics, Applied Math, Computer Science, or other quantitative discipline) strongly preferred
AWS or Azure certifications desirable (Solution Architect, Machine Learning or Big Data specialty certification
Snowflake SnowPro certification desirable

Flexible work environment with a globally distributed team
Competitive compensation packages including performance bonuses
Paid vacation and sick time off
Employer-subsidized medical, dental, and vision insurance
Company-paid short- and long-term disability insurance
A culture of cooperation and support
Continual professional and personal development through employer-paid training and certifications

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