At arenaflex, we're on a mission to revolutionize the way we empower Suppliers and Sellers/Marketplaces with cutting-edge omnichannel marketing and advertising solutions at scale. As a Staff Data Scientist, you'll play a crucial role in reimagining our marketing and advertising products to drive business growth and customer engagement.
**About arenaflex**
arenaflex is a leading innovator in the retail and digital media advertising space, committed to delivering exceptional customer experiences and driving business results for our partners. Our team is passionate about leveraging data science, machine learning, and analytics to create data-driven solutions that drive growth and profitability.
**Key Responsibilities**
As a Staff Data Scientist, you'll be responsible for:
* Developing and improving show commercials dimension technique throughout income lift, artificial manage group, ghost commercials, MMM, MTA, A/B testing, etc.
* Defining imaginative and prescient and techniques for show commercials dimension methodologies, the use of area expertise, inner and outside pleasant practices, figuring out marketplace opportunities, constructing commercial enterprise cases, and approving objectives
* Building collaborative relationships with key companions with the aid of using priorities aligned to commercial enterprise goals, speaking, and prioritizing product roadmaps, and gaining buy-in from govt management.
* Manage product roadmaps, align commercial enterprise and technical needs, decide rollout method, and manipulate risks
* Continuously interact with senior management and stakeholders to make certain alignments and manipulate interdependencies.
* Explain complicated modeling methods in easy phrases and increase compelling narratives that join modeling effects with commercial enterprise problems
* Partner with the cross-purposeful crew to streamline records technology answers
* Integrate disparate records reasserts and leverage modern-day analytics pleasant practices so that it will supply incorporated actionable insights to companions and senior management round virtual advertising optimization
* Present media insights and tips to distinctive degrees of senior clients
**You'll be a great fit if:**
* You're comfortable influencing others, leading teams, managing stakeholders, getting buy-in from management, and communicating clearly.
* You have a test and research mentality and an agile way of working to enhance your team's product.
* You are resourceful, disciplined for execution, and have a can-do attitude.
* You like digging into data and performing some analysis.
* You're able to use metrics to enhance performance.
* You enjoy building methods for growing the demand for your product.
* You're enthusiastic about solving complicated challenges.
* You're customer-centric in spirit and in execution.
* You have hands-on experience of using product adoption.
* You have knowledge in Digital and Retail Media Advertising.
* You have knowledge in Digital Ad Stack and Retail Media Advertising.
**Minimum Qualifications**
* Master's degree in data science, statistics, economics, operations research, engineering, or related field
* 6+ years of business experience in data science, dimension, advertising method & analytics, Ad-Tech, Mar-Tech or related fields
* Proficient coding skills (SQL/Python/R) and database knowledge
* Experienced in building dimension solutions including income lift, ghost commercials, market mix, and multi-touch attribution models; Extensive experience with predictive modeling algorithms
* Experience in product control, or related field
* Strong project management skills, including managing technical resources and multiple priority & milestone.
* You have an enthusiasm for working in a fast-paced agile environment.
* A collaborative attitude and experience of curiosity
* Sound business judgment, as well as the ability to think clearly, read quantitatively, problem-solve, scope technical requirements and prioritize
* Strong oral and written communication skills are essential, established ability to persuade others internally and externally
**Preferred Qualifications**
* Ph.D. degree in Statistics, Economics, Operations Research, or related field
* Experience in end-to-end product delivery, self-serve platforms, design, customer experiences, automation, optimizations, and data analytics
**Compensation and Benefits**
arenaflex offers a competitive salary range of $160,000.00-$230,000.00, as well as performance-based incentive awards and other notable benefits for a happier mind, body, and wallet. Health benefits include medical, vision, and dental coverage. Financial benefits include 401(k), stock buy, and company-paid life insurance. Paid time off benefits include PTO (which includes sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy rate reimbursement, and more.
**Career Growth and Learning Opportunities**
arenaflex is committed to helping you grow and develop your skills and expertise. We offer a range of learning and development opportunities, including:
* Tuition reimbursement for full-time and part-time employees in Walmart and Sam's Club facilities. Programs vary from high school completion to bachelor's degrees, including English Language Learning and short-term certificates. Tuition, books, and expenses are fully paid for by arenaflex.
* Opportunities to work on high-impact projects and contribute to the development of new products and services.
* Collaborative and supportive team environment with opportunities to learn from and share knowledge with colleagues.
* Access to cutting-edge technologies and tools, including data science and machine learning platforms.
**Work Environment and Company Culture**
arenaflex is a dynamic and innovative company that values collaboration, creativity, and customer-centricity. Our team is passionate about delivering exceptional customer experiences and driving business results for our partners. We're committed to creating a work environment that is inclusive, diverse, and supportive of all employees.
**How to Apply**
If this role sounds like a perfect fit, don't hesitate. Apply today and let's build the future together.