Data Scientist - Sonata Software North America : Job Details

Sonata Software Overview

Sonata is a global technology company specializing in platform-based digital transformation, supporting businesses to become connected, open, intelligent and scalable. Sonata's Platformation™ methodology brings together industry expertise, platform technology excellence, design innovation and strategic engagement models to deliver sustained value to customers. A trusted partner of world leaders in the retail, manufacturing, distribution, travel, services and software industries, Sonata's software portfolio includes the Brick & Click Retail Platform©, Modern Distribution Platform©, Rezopia Digital Travel Platform©, Kartopia E-commerce Platform©, Halosys enterprise development automation Platform©, CTRM Commodity Trading and Risk Management Platform© and KODO - AI Powered Customer Experience (CX) Platform. Sonata's Platformation approach ensures services built on Microsoft Dynamics 365, Microsoft Azure, AWS, Cloud Engineering and Managed Services deliver on the Platformation promise. As world leaders in digital technologies including IoT, Artificial Intelligence, Machine Learning, Robotic Process Automation, Chatbots, Block Chain and Cyber Security, Sonata's people and systems are nurtured to deliver on our commitment to excellence in business technology solutions.

Job Title : Data Scientist with Logistics

Location: Bay Area , CA or Reno, NV. No remote (Weekly 5 days to Office)

Duration: 12 months Contract / Fulltime

Start Date : Immediate

Worked at a Trucking/Logistics/Freight companies: Uber Freight, Con-way, CH Robinson, Coyote Logistics, Flexport are some examples

Job Description:

Key Responsibilities:

·Analyzing data patterns and trends through statistical methods to understand the underlying relationships within the data

·Deep understanding of statistical modeling, machine learning algorithms, analytics concepts, and a track record of solving problems

·5 years of experience with developing ML models

·Prior experience in ML modeling using TensorFlow, Pytorch

·Model Development: Develop and deploy machine learning algorithms & models using Python and relevant libraries/frameworks

·Data Preprocessing, Address missing data, outliers, and anomalies using Databricks' robust data processing tools

·Feature Engineering Development

·Training Validation, Model Experimentation and Model Selection

·Hyper parameter tuning

·Presenting complex data insights through compelling visualizations like charts, graphs, and dashboards to effectively communicate findings to stakeholders

·Interpreting data insights and translating them into actionable business recommendations

Minimum Requirements:

Education: Bachelor's degree in computer science, Statistics, Mathematics, or related field.

Experience:

• Minimum of 3 years of experience in data science - centric roles with a strong focus on analytics, data science, and machine learning.
• Experience as Data Scientist in Freight / Logistics Industry is must.

Technical Skills:

·Proficiency in Python, SQL, or PySpark with strong programming skills

·Strong understanding of machine learning algorithms, model evaluation, and optimization techniques

·Proven track record of developing and deploying models in Production

Analytical Skills:

• Robust analytical and problem-solving skills with a solid foundation in statistical methods.
• Expertise in translating business issues into data-driven solutions using Databricks.

Why join Sonata Software?

At Sonata, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build never seen before solutions to some of the world's toughest problems. You´ll be challenged, but you will not be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

Sonata Software is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity, age, religion, disability, sexual orientation, veteran status, marital status, or any other characteristics protected by law.