Experienced Full Stack Data Science Manager – Online Customer Experience Intelligence (Remote) in arenaflex

About arenaflex

arenaflex is a leading retail company that has been revolutionizing the way people shop and interact with their brand. With a strong commitment to innovation and customer satisfaction, arenaflex has established itself as a pioneer in the industry. As a Data Science Manager, you will be part of a dynamic team that is dedicated to leveraging data science to drive business profitability, increase efficiencies, and improve customer experience.

Job Description

Position Purpose:

We are seeking an experienced Full Stack Data Science Manager to lead our Online Customer Experience Intelligence team. As a key member of our data science organization, you will be responsible for leading a team of data scientists, ensuring that their efforts drive business profitability, increased efficiencies, and improved customer experience. This role requires a unique blend of technical expertise, business acumen, and leadership skills.

Key Responsibilities:

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People Management & Team Leadership (40%):

+ Provide leadership, mentorship, and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution. + Attract, retain, and develop top talent to build an effective and high-performing team. + Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress. + Ensure appropriate processes and job-specific requirements are properly documented. + Develop onboarding and training plan for both technical and soft skills that will ensure high levels of capabilities within the team. + Manage resources effectively to align with strategic initiatives and business needs. + Foster collaboration with team members to develop a supportive and engaged team. + Support team in the design and development of algorithms and models to use against large datasets to create business insights. + Drive team's results and celebrate accomplishments.

Project Management (25%):

+ Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others. + Manage programs for the team to ensure consistency of execution, balance of resources, and quality solutions. + Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them. + Serve as escalation point for any issues or difficulties with specific projects. + Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings, and recommended solution, and explain internal and external impacts.

Strategy & Business Development (15%):

+ Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills. + Effectively develop trust and collaboration with internal customers and cross-functional teams. + Ensure alignment with IT support model, collaboration, tools, and governance to enable data scientists to be most effective in executing their roles. + Collaborate with other data science managers across the organization to establish high-level strategy and optimize talent management.

Technical Exploration & Development (20%):

+ Seek further knowledge on key developments within data science, technical skill sets, and additional data sources. + Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects. + Ensure best practices and vision for data analysis and model productionalization are leveraged.

Requirements:

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Minimum Qualifications:

+ Must be eighteen years of age or older. + Must be legally permitted to work in the United States.

Preferred Qualifications:

+ 9+ years of experience in business intelligence and analytics. + Previous people or project team management experience. + Expertise in predictive modeling, data mining, and data analysis. + Mastery running queries against data (preferably with Google BigQuery or SQL). + Proficient with data visualization software (preferably Tableau). + Mastery utilizing statistical techniques to identify key insights that help solve business problems. + Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search, or NLP. + Demonstrated proficiency in predictive modeling, data mining, and data analysis. + Experience managing and growing team members in a professional setting.

Minimum Education:

+ The knowledge, skills, and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.

Preferred Education:

+ No additional education.

Minimum Years of Work Experience:

+ 8 years.

Preferred Years of Work Experience:

+ No additional years of experience.

Minimum Leadership Experience:

+ None.

Preferred Leadership Experience:

+ None.

Certifications:

+ None.

Competencies:

+ Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs. + Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals. + Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization. + Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals. + Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. + Develops Talent: Developing people to meet both their career goals and the organization's goals. + Directs Work: Provides direction, delegating, and removing obstacles to get work done. + Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives. + Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action. + Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity. + Interpersonal Savvy: Relating openly and comfortably with diverse groups of people. + Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics. + Persuades: Using compelling arguments to gain the support and commitment of others. + Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies.

What We Offer:

* Competitive salary: $140,000 - $280,000.

• Opportunity to work with a leading retail company.
• Collaborative and dynamic work environment.
• Professional development and growth opportunities.
• Comprehensive benefits package.

How to Apply:

If you are a motivated and experienced data science professional looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you! Apply for this job