Data Scientist

Who would be successful?

EDUCATION—MINIMUM REQUIRED LEVEL:

• Candidates should hold a technical engineering or computer science degree or statistics or business math. Possessing or pursuing MBA or other relevant professional certification is a plus.

EXPERIENCE—MINIMUM REQUIRED:

• Candidates should possess 3 years analytics experience and be well familiarized with the project lifecycle concepts.  Must have extensive relevant experience in building systemic solutions.
• Must have extensive programming experience in SQL, PL/SQL, Tableau, Python, R-programming, Visual Basic, and other computer languages.

KNOWLEDGE AND SKILLS 1—REQUIRED:

• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
• Tableau Expert
• Experience working with and creating data architectures (good to have).
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Demonstrates leadership skills – as shown in the ability to influence others and supervise others directly or indirectly through Project work.
• Exhibits appropriate professional/ethical standards.
• Flexible, with the ability to manage more than one project at a time and agile enough to be deployed to other teams periodically.
• Strong competencies in algorithms and software architecture
• Proficient in Amazon EMR to run Presto and Spark engine
• 2+ years of experience in using AWS cloud and its resources/services
• Strong experience in Relational Databases (MySQL, SQL Server or PostgreSQL) and non-relational databases
• Strong experience in real-time data processing and data ingestion
• Strong experience in batch data processing and data pipelines
• Preferably someone with experience with Greenberry and Alteryx

 KNOWLEDGE AND SKILLS 2—DESIRED BUT NOT ESSENTIAL:

• Pursuing MBA, CPA or other relevant professional certification is a plus.     

#LI-Hybrid

The Role\: Data Scientist

Schneider Electric is actively recruiting and interviewing for future position of  Data Scientist . This position is expected to have an understanding of related business processes & information needs. This role will also require understanding of the end to end business process and will use improvement techniques, automation and change management techniques in order to navigate through their daily activities and propose optimizations.

The Data Scientist may, but not limited to, perform deep dive analytics for new projects and program for new requirements, create keystrokes for the detailed process and propose automations via RPA. Key expectation is to deliver advanced analytics solution using Predictive Models, Machine Learning, IA, etc.

Ability to document processes and to effectively catalog them for easy access and cross training purposes.

Will lead high visibility projects related to automations and visualizations.

What will you do?

ESSENTIAL FUNCTIONS:

• The Data Scientist must have strong experience using various data mining/data analysis methods, using different data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must be able to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• This position will also help develop and deliver training modules to facilitate the roll-out of the new or redesigned processes & continuous improvements initiative
• Training and Development - train junior business analyst. Share best practices and develop career progression for fellow Analyst.

SECONDARY FUNCTIONS:

• Develop custom data models and algorithms to apply to data sets.
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• This position will also help develop and deliver training modules to facilitate the roll-out of the new or redesigned processes & continuous improvements initiative
• Training and Development - train junior business analyst. Share best practices and develop career progression for fellow Analyst.
• Provide business information, analysis together with supporting data.
• Facilitate and help teams to create process maps, evaluate process "as is" state and Identify opportunities to increase the efficiency, effectiveness and business impact of assigned areas.
• Participant & facilitate teams to redesign assigned business processes including new process maps, procedures, develop and deliver associated training modules, communicate process changes.
• Lead automation of data flows & analysis.
• Share identified best practices across all relevant functions
• Communicate effectively with, influence, and gain support from all levels of the organization on large scale business process changes.
• Participate on process audits and help institute process metrics to assess current process health of complex business processes. 

Relationship management

• Strong relationship needed with business, developers and system owners, to be able to navigate data form different platforms to provide optimum results