Job Openings

Manager of Data Analytics

ITAC is assisting a fantastic Birmingham based client in their search for a Manager of Data Science!

We are looking for a leader first and a true Data Scientist, second. Our client values true leadership of other bright and talented data enthusiasts who can handle all the challenges that come their way.

This person will also be hands-on in high-level data analytics and application design regarding artificial intelligence and creating plans to best fit client needs.

If you possess a data driven personality, leadership qualities, and can flourish in a dynamic environment, this position may be ideal for you.

What you’ll be doing (duties of this position):

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods while enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Re-frame objectives as machine learning tasks that can deliver actionable insights, accurate predictions, and effective optimization.
  • Implement and execute machine learning with reliability .
  • Explain how models and systems work to both non-technical and technical stakeholders.
  • Collaborate with engineering teams to build data-based products and help integrate into the products and operational processes.
  • Enhance data collection procedures to include information that is relevant for creating better data models.

What you’ll need to be considered (requirements):

  • Bachelors or Master’s Degree or equivalent, relevant experience and skills required
  • 5-7 years of experience hands-on technical Data Scientist in technology sector.
  • Demonstrated ability to present data science results and recommendations to business and technical clients.
  • Demonstrated delivery of machine learning techniques in real-time applications.
  • Expertise in modern statistics/data science/machine learning.
  • Experience with reporting is required; experience analyzing big data is a plus
  • Expertise in a statistical programming language (Python, R) and data access tools (SQL, Advanced Excel).
  • Ability to gauge the complexity of machine learning problems and a willingness to execute simple approaches for quick effective solutions as appropriate
  • Working knowledge of Asset Analytics and Collection Administration software is preferred

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