Data Science Manager – Marketing & Strategy

Company Description

Sia Partners is a next-generation management consulting firm. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients. Counting 3,000 consultants in 19 countries, we expect to achieve USD 420 million in turnover for the current fiscal year. With a global footprint and expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation.

Why Join The Sia Village?

Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee Wellbeing

These are the six core values that guide all our actions. As an expression of our values, our Sia Village concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people.

Your experience at Sia Partners will be enriched by a(n):

• Entrepreneurial journey
• Career advocacy program that supports achieving professional development goals through guidance, and real-time feedback
• Continuous learning & development opportunities
• Diversity, equity, and inclusion programs with an ever-growing list of global affinity initiatives

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

- 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 

• Salary + Annual Discretionary Bonus
• Healthcare coverage that includes medical, dental, vision and life insurance policies
• Generous time off 
• Parental leave paid at 100% of base pay for all new parents regardless of gender 
• Building Healthy Families Program
• 9 Company Holidays + 1 Floating Holiday 
• 401(k) Plan – 4% matching on day 1
• College save-up plan & college loan repayment plan
• Monthly cell phone stipend 
• Commuter Benefits 
• Gym Reimbursement through firm medical plan

New York Compensation Info:

New York compensation for this role is between $128,000 and $180,000 per year. Actual compensation within that range will be dependent upon the individual’s skills, experience, qualifications, and market location.

Our Commitment To Diversity

Diversity, equity, inclusion, and belonging (DEIB) are part of Sia Partners’ DNA. Thanks to our expertise in several sectors and our international growth, our teams include a variety of experiences and cultures. We’re confident that promoting DEIB creates an environment in which everyone can reach their full potential.

Our global network, DEIB@Sia Partners, brings together our people worldwide to facilitate local and global progress, focused on the following areas:

• Gender equality (global Gender Equality Index score of 93/100 for 2023)
• LGBTQ+
• Race & Ethnicity
• Working Parents
• Disabilities

Hybrid Workplace Guidelines

Sia Partners maintains its hybrid workplace arrangements and provides a flexible workplace environment that is driven by client and business/market needs. At this time, in-person requirements are issued by departments (Business Unit/Business Line) and vary by office location. Consultants are expected to have the ability to be flexible with work location depending on business needs and live within a reasonable distance to the office.

Work Authorization & Sponsorship 

At this time, Sia Partners 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 Partners 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.