Data Science Manager Marketing Strategy

Job Description To support its growth, Sia Partners is recruiting a Data Science Manager with strong expertise in marketing, client, and product challenges. You will join the global Data Science capability at Sia Partners, consisting of 300+ Data Scientists located across Europe, North America, and Asia. You will be part of the growing US Data Science team, focusing on marketing analytics for various sectors including luxury, energy, FMCG, banking, and insurance. Key Responsibilities Leading Data Science Projects: Manage the delivery of data science projects, working across several clients in the US. Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more. Business Development: Collaborate with Sia Partner’s US Data Science Lead, Business Units teams, and Data Science centers from other locations to develop proposals for potential opportunities. Client Engagement: Identify opportunities to expand Sia Partners' Data Science offering to existing clients. Professional Networking: Build and maintain external professional peer networks to drive new revenue opportunities. Marketing and Thought Leadership: Support marketing campaigns, contribute to external positioning across social networks, work on blogs, and develop Sia Partners’ assets, including methodologies and tools. Recruitment and Team Development: Lead recruitment initiatives for the Data Science team, advise on market positioning, and support the operational and career management of data science consultants. Coaching and Mentoring: Mentor colleagues in performance and development, facilitate learning, and enhance the team's technical knowledge and consulting skills. Some examples of use cases this person would tackle: - CRM analytics and predictive modelling: Deepen understanding of customers through segmentation and clustering techniques for optimal marketing campaign personalization. Develop and implement predictive models to anticipate customer behaviors, optimize marketing campaigns, and support customer retention strategies. Define hyper-personalized marketing plans. - Customer experience data mining and personalization models: Analyze customer feedback using NLP models to extract structured information and identify causes of dissatisfaction. Leverage AI models to offer hyper-personalized customer experiences, including personalized products, recommendation engines, and connected objects. - Pricing & Product Analytics: Contribute to pricing strategy, product development, and assortment optimization. Enhance cross-selling strategies and capitalize on Generative AI for innovative product creation. - Open Data: Integrate open data and geomarketing data into analyses to optimize targeting and campaign impacts. Understand and anticipate the performance of the retail network. - Merchandising & Operations analytics and optimization: Predict sales to adjust production and inventory. Model the optimization of the entire distribution chain. - Internal Activities: Develop and enhance offerings through training, working groups, and R&D work. Contribute to the firm's visibility through publications, sector blogs, studies, press releases, and marketing events. Support business development by defining needs and participating in commercial activities. Qualifications: Qualifications - Data Science Expertise: Proven experience in applying data science solutions to marketing problems, particularly in customer segmentation, predictive modeling, and personalized marketing. - Team Leadership: Experience in leading and developing high-performing teams, preferably in a consulting environment. - Technical Skills: Expertise in Python, R, SQL, cloud-based infrastructures (AWS, Google Cloud, Microsoft Azure), and BI tools (Power BI, Tableau, Qlik). - Communication: Excellent skills to convey complex technical information in simple terms to various stakeholders. - Project Management: Strong organizational skills and the ability to manage projects from conception to completion within tight deadlines. - Industry Knowledge: Deep understanding of marketing challenges and familiarity with sectors such as luxury, FMCG, energy, banking, and insurance. Additional Information **Compensation & Benefits ** We believe in supporting our team professionally and personally. Here’s a snapshot of the comprehensive benefits you’ll enjoy as part of Sia. Competitive Compensation Annual base salary starting at $165,000, commensurate with experience and qualifications Annual performance based discretionary bonus Robust Health Coverage 3 Medical plans Dental and Vision Life, AD&D and other voluntary insurance Tax-Advantaged Accounts 401K retirement plan 4% matching and 100% vested upon enrollment Health Savings Account (HSA) Flexible Spending Account (FSA) Health, Dependent Care, Commuter Family Friendly Benefits 100% paid parental leave for all new parents with eligible tenure Building Healthy Families program if enrolled through Medical plan Time Off to Recharge Generous Paid Time Off (PTO) policy 9 company holidays plus 1 floating holiday Extras that Make Life Easier College savings and student loan repayment assistance Monthly cell phone stipend Access to wellness programs at no cost if enrolled through Medical plan, including: Gym membership reimbursement LiveHealth Online virtual care Personalized support from a Well-being Coach Employee Assistance Program at no cost Free confidential counseling and emotional support services On-demand access to Emotional Well-being resources (ranging from relaxation techniques to stress management) Diversity, Equity, Inclusion & Belonging At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our

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for more information. Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. Office Workplace Guidelines Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. **Work Authorization & Sponsorship ** At this time, Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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