Data Science Manager, Digital

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Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us

Job Description

We offer the best of both worlds— energy with global support. At Rockwell Automation, Kalypso, you'll build a regional presence, lead a high-performing team, and partner with leading clients to solve their most critical digital challenges. Enjoy flexibility, autonomy, and access to world-class technology and expertise.

Rockwell Automation, Kalypso, is a professional services firm focused on helping companies discover, create, make, and sell better products with digital. Our consultants are passionate about helping clients transform their operations, navigate latest technologies, and create lasting value across the enterprise.

We are looking for a Data Science Manager to join our team and help grow our digital practice across Australia and New Zealand. As a manager, you will guide clients through complex transformations, lead data science teams, and support the growth and of our regional practice.

As a Data Science Manager, you will help our clients solve challenging issues. The work is demanding, and provides unparalleled exposure to unique opportunities. Our focus is helping clients solve – not just prepare plans for solving – their most important problems with the transformative power of analytics. You will combine your knowledge of Analytics and Data Science with real-world for a diverse set of clients in industries such as Consumer Goods (FMCG), Life Sciences, Manufacturing, and Energy & Resources.

Your Responsibilities

• Ability to guide together with top executives to make decisions based on Machine Learning and Artificial Intelligence algorithms
• Research, designing, implementing, and deploying full-stack scalable data analytics and machine learning solutions for broad problem spaces and industries
• Not just use, but understand and improve the latest algorithms and trends
• Guide expertise on industry/functional topics
• Lead development of vision, mission, and core values for the data science team as part of building a culture
• Work with senior management and important partners in identifying and prioritising applicable, impactful insights across a variety of primary business and hence, enhancing the business's capability and objectives
  
  

The Essentials - You Will Have

• PhD, but minimum of a Master's degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field
• 8+ years of working experience in a data science capacity within a business setting working as a Senior Data Scientist
• Fluent spoken and written English language skills
• Good and able to tailor complex messages into simplified and business applicable material for important partners
• Willingness to travel up to 50%
  
  

Technical Skills

The Preferred - You Might Also Have:

• Proficiency with Machine Learning model development, training, validation, and application
• Proficiency in mathematical disciplines including linear algebra, calculus, probabilistic models, and statistics
• Data manipulation techniques, including ETL/ETLV
• Experience with R, Python or Scala scripting techniques
• Experience with data visualization and platforms such as D3.js, Tableau, Kibana, HTML5 and CSS
• Competency in Graph/NoSQL database techniques and RDBS platforms like Oracle and MS SQL Server
• Proficiency with SQL
• Experience developing in Java and NET languages
• Experience using and developing RESTful and SOAP Web Services
• General knowledge of software development practices and technical documentation (requirements, functional specifications, test plans, etc.)
  
  

Consulting Skills

• Versatility, flexibility, and proactivity when resolving technical issues and dealing with ambiguity
• Understanding business requirements and the process of translating them into well engineered and integrated technical solutions; attention to detail
• Commitment to quality and on-schedule delivery; proven ability to establish and meet milestones and deadlines
• Customer-focused to understand and appropriately respond to customers' business needs
• Demonstrated ability to interface effectively and collaborate with clients, peers, and management to help develop solutions and ensure stakeholder buy-in
• Experience working in a team-oriented, collaborative environment with flexibility and a deep commitment to client service
  
  

What We Offer

Our benefits package includes …

• Comprehensive mindfulness programs with a premium membership to Calm
• Volunteer Paid Time off available after 6 months of employment for eligible employees
• Company volunteer and donation matching program – Your volunteer hours or personal cash donations to an eligible charity can be matched with a charitable donation.
• Employee Assistance Program
• Personalized wellbeing programs through our OnTrack program
• On-demand digital course library for professional development
• and other local benefits
  
  

At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.

#LT-Hybrid # LT-CT1

Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionEngineering and Information Technology
• IndustriesAutomation Machinery Manufacturing

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