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Manager Data Science Law Jobs in Texas (NOW HIRING)

About the Role This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with ...

About the Role This is a senior leadership role on the Global Product Management Data Science team managing the Client Experience Digital Platform - the central hub where clients interact with ...

In addition to hands-on technical leadership, this role may include managing data science talent and helping to scale the function over time as organizational needs evolve. The ideal candidate brings ...

In addition to hands-on technical leadership, this role may include managing data science talent and helping to scale the function over time as organizational needs evolve. The ideal candidate brings ...

In addition to hands-on technical leadership, this role may include managing data science talent and helping to scale the function over time as organizational needs evolve. The ideal candidate brings ...

In addition to hands-on technical leadership, this role may include managing data science talent and helping to scale the function over time as organizational needs evolve. The ideal candidate brings ...

Data Scientist

Dallas, TX · On-site

$81 - $135/hr

Overview Data Science Planning, Allocation & Inventory Optimization JCPenney Role Purpose The Manager, Data Science - Planning & Allocation is responsible for developing and operationalizing ...

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Manager Data Science Law information

What is the difference between Manager Data Science Law vs Data Scientist Law?

AspectManager Data Science LawData Scientist Law
Required CredentialsBachelor's or Master's in Data Science, Law, or related fields; leadership experienceBachelor's or Master's in Data Science, Law, or related fields; technical skills
Work EnvironmentTeam leadership, project management, strategic planningData analysis, modeling, research, coding
Employer & Industry UsageLegal firms, corporate legal departments, government agenciesLegal tech companies, law firms, corporate legal teams

The main difference is that the Manager Data Science Law oversees teams and projects, focusing on strategic leadership, while the Data Scientist Law primarily conducts technical data analysis and modeling. Both roles require strong knowledge of law and data science, but the manager position emphasizes leadership and management skills.

What are the most commonly searched types of Data Science Law jobs in Texas? The most popular types of Data Science Law jobs in Texas are:
What cities in Texas are hiring for Manager Data Science Law jobs? Cities in Texas with the most Manager Data Science Law job openings:

Manager - Data Science

Michaels Stores, Inc.

Irving, TX • On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted yesterday


Michaels rating

4.8

Company rating: 4.8 out of 10

Based on 947 frontline employees who took The Breakroom Quiz

651st of 732 rated retailers


Job description

Support Center - Irving
The Manager - Data Science role is critical in helping to determine which CRM tactics most effectively drive long-term value with our customers. The ideal candidate will creatively apply advanced analytic techniques, ranging from DOE to predictive models and machine learning, that will both articulate business impact and optimize marketing spend. Clear communication of complex analyses and the ability to tell a story with data are critical to succeed in this role.
Major Activities
  • Strategic Thought Partnership
  • Design and execute analytics projects to quantify impact from various marketing campaigns
  • Identify growth opportunities for the business leveraging innovation and advanced analytical techniques
  • Work with business partners to identify the challenges that needs to be quantified
  • Act as subject matter expert for all projects in which involved

Data Analytics
  • Mine extensive database in support of business insights and measurement
  • Develop well-thought, actionable insights using advanced analytics techniques
  • Determine best approach for each analysis and articulate pros/cons of methodology
  • Ensure quality of data used in analysis and all presentation material
  • Effectively manage multiple projects simultaneously, from long-term projects to shorter, ad-hoc projects
  • Automate standard deliverables and reduce repetitive processes for self and team

Business Insights & Cross Functional Partnerships
  • Manage internal client relationships and serve as the SME for analytics within the CRM function
  • Tell a story with data: gain buy-in from partners through the development and communication of compelling, easily understood analytics presentations
  • Provide strategic recommendations based on analyses tied to the organization's goals that will drive business results
  • Effectively communicate with analytics team members and business partners with varying levels of understanding regarding analytics discipline

Innovation & Technology
  • Lead innovation in data science methodologies and tools, staying abreast of industry developments and proactively exploring opportunities to advance organizational capabilities and maintain a competitive edge.
  • Implement cutting-edge tools and best practices to enhance analytics capabilities.

Staff Management & Development
  • Manage a team of data scientists
  • Mentor analysts regarding analytics best practices, methodologies, and programming techniques
  • Develop objective staff development strategies, effectively growing the capability sets of team and guiding analysts on their career advancement

Other duties as assigned
Minimum Knowledge/Skills/Abilities
Minimum Education
  • Bachelor's degree in relevant quantitative field required, Master's preferred

Minimum Special Certifications or technical skills
  • Fluent in data fundamentals: SQL, data manipulation using a procedural language (R, Python), statistics, experimentation, and modeling
  • Proven track record of using data to provide actionable business results

Minimum Type of experience the job requires
  • A minimum of 5 years of relevant work experience in data science for a consumer centric company
  • Proven experience partnering with business decision makers on advanced analytics topics
  • Expert-level experience with a wide range of quantitative methods that can be applied to business problems. This includes knowledge of modeling techniques and statistical concepts

Other
  • Work as a self-starter, not waiting for direction from senior leadership

Preferred Education
  • Advanced degree preferred in an analytical field (e.g. Statistics, Economics, Applied Math, Operations Research, Physics, Data Science fields)

Applicants in the U.S. must satisfy federal, state, and local legal requirements of the job.
At The Michaels Companies Inc., our purpose is to fuel the joy of creativity and celebration. As the leading destination for creating and celebrating in North America, we operate over 1,300 stores in 49 states and Canada and online at Michaels.com and Michaels.ca. The Michaels Companies, Inc. also owns Artistree, a manufacturer of custom and specialty framing merchandise. Founded in 1973 and headquartered in Irving, Texas, Michaels is the best place for all things creative. For more information, please visit www.michaels.com.
At Michaels, we prioritize the wellbeing of our teams by providing robust benefits for both full-time and part-time Team Members. Our benefits include health insurance (medical, dental, and vision), paid time off, tuition assistance, generous employee discounts, and much more. For more information, visit www.michaels.com.
Michaels is an Equal Opportunity Employer. We are here for all Team Members and all customers to create, innovate and be better together.
Michaels is committed to the full inclusion of all qualified individuals. In keeping with this commitment, Michaels will assure that people with disabilities are provided reasonable accommodations. Accordingly, if a reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the job, and/or to receive all other benefits and privileges of employment, please contact Customer Care at 1-800-642-4235 (1800-MICHAEL).
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