If you are excited and passionate about helping us #letssolvewater, we want to hear from you!

The Role :

• Xylem’s Decision Intelligence business unit is seeking candidates with a Machine Learning / Software Engineering background to join our team as a Data Scientist in North America.
• As a manager of the Data Science team, the incumbent will design, develop and test machine learning and data science workflows/applications to integrate with Digital Intelligence solutions and technologies.

Essential Duties/Principal Responsibilities :

• Develop well-architected data-driven models, including optimization, machine learning, statistical analysis, parametric and non-parametric statistical models and techniques to empower Digital Intelligence Solutions’ products.

• Responsible for communicating analytics model behavior/results by providing profound quantitative and qualitative insights around each development.

• Write a high degree of documentation to support the development and deployment in the future.

• Ensure the implementation of best practices for data science, including code development and model train, validation, and test.

• Responsible for the design of algorithms that require different models/methods to be used together and desire to build game-changing analytics tools and fulfill research needs.

• Responsible for building proper unit tests for testing all components of models

• Strong sense of ownership to complete all product deliverables.

• Passionate about applications, analytics, storage and distributed systems

• Enjoy working in a fast-paced agile environment

• Excellent written and verbal communication skills

• Participation in Xylem Watermark volunteer activities

Minimum Qualifications: 

• Master of Science degree or higher in a conventional field like Science, Engineering, Computer Science, Applied Mathematics/Statistics, Data Science or equivalent and 1-3 years related work experience. 

• Strong attention to detail.

• Ability to meet deadlines/schedules.

• Experience with real-world software engineering using Python, Scala, or a similar language.

• Experience applying Machine Learning to real-world problems through either higher-level academic research or real-world environment work experience.

• Experience using Linux and open source technologies

• Openness towards learning the AWS Cloud ecosystem of web services

• Ability to work collaboratively within a team environment of data scientists/engineers to meet aggressive goals and high-quality standards

• Demonstrated experience working with cross-functional teams

Preferred Qualifications :

• Experience with ML packages/tools like Scikit, Tensorflow, Sagemaker, Keras, etc

• Experience using SQL, Mongo DB, & Postgres in a real-world environment.

• Experience working directly with non-technical stakeholders to explain complex topics/findings and deliver presentations.

• Ability to work on open ended research problems

We Offer You More Than Just “A Job”

• Professional Development – To advance the capabilities of our people, we offer a wide variety of experiences to support our employees’ professional growth and continuous learning.

• Total Rewards – We offer comprehensive programs for compensation, benefits, recognition, learning and development, work-life integration and corporate citizenship.

• Watermark – Watermark is our corporate social responsibility program working to provide education and access to safe water to ensure healthy lives, gender equality, and resilient communities. Employees have the opportunity to learn and volunteer on various water-related projects.

• Employee Networks – Our Employee Networks provide a professional, supportive network for employees from diverse backgrounds, including Women’s, LGBT+ and Allies, Veteran’s, People of Color and Allies, Hispanic Origin & Latin Affinity, Emerging Leaders, and Working Parents Networks.

Physical Demands/Work Environment :

• (The physical demands and work environment described here are representative of those an employee encounters and must be met to successfully perform the essential functions of this job.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.)

• Regularly required to sit or stand, reach, bend, and move about the facility

• Office: Standard office equipment; work usually performed in an office setting free from any disagreeable elements

• Standard weekly job hours: 40 hours.

• Lieu de travail Maroc| Rabat et région, Maroc
• Date d'expiration 04 Juin
• Niveau de poste Débutant / Junior| Confirmé / Expérimenté
• Secteur d'activité Distribution, Commerce
• Nombre de postes 01