Data Science Manager – Marketing & Strategy

Join Sia Partners: Exciting Opportunity for Data Science Manager – Marketing & Strategy

Company Description

Sia Partners, a next-generation management consulting firm, seamlessly combines AI and design capabilities to augment traditional consulting and deliver unmatched value to our clients. With 3,000 consultants across 19 countries, we're on track to achieve USD 420 million in turnover this fiscal year. Our expertise spans more than 30 sectors and services, optimizing client projects on a global scale. Through our innovative Consulting for Good approach, we create CSR solutions that leverage sustainability for profitable transformations.

Why Join The Sia Village?

Core Values: Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee Wellbeing

These values underpin all our actions, and our Sia Village concept embodies our commitment to fostering a sense of community within our offices. We believe knowledge sharing drives innovation and personal growth. At Sia Partners, your experience will be enriched by:

• An entrepreneurial journey
• A career advocacy program offering guidance and real-time feedback
• Continuous learning and development opportunities
• Diversity, equity, and inclusion programs with global affinity initiatives

Job Description

As Sia Partners continues to grow, we are recruiting a Data Science Manager with extensive expertise in marketing, client, and product challenges. You will join a global team of over 300 Data Scientists located across Europe, North America, and Asia, focusing on marketing analytics for sectors such as luxury, energy, FMCG, banking, and insurance.

Key Responsibilities

• Leading Data Science Projects: Manage data science projects for multiple US clients.
• Application of Data Science in Marketing: Utilize data science techniques for customer segmentation, predictive modeling, pricing strategy, and enhancing customer experiences.
• Business Development: Collaborate across various teams to develop proposals and expand opportunities.
• Client Engagement: Identify and act on opportunities to expand data science services with existing clients.
• Professional Networking: Build and maintain external networks to uncover new revenue opportunities.
• Marketing and Thought Leadership: Support marketing campaigns, contribute to social media, blogs, and develop methodologies and tools.
• Recruitment and Team Development: Lead recruitment initiatives, advise on market positioning, and support team management.
• Coaching and Mentoring: Mentor and facilitate learning among colleagues to enhance their technical and consulting skills.

Specific Marketing Analytics Use Cases

• Customer Loyalty: Utilize segmentation, clustering, and predictive models for personalized marketing and retention strategies.
• Enhanced Customer Experience: Analyze customer feedback with NLP models and leverage AI for personalized customer experiences.
• Pricing & Product: Contribute to pricing strategies, product development, cross-selling, and innovate with Generative AI.
• Geomarketing & Open Data: Integrate geomarketing and open data to optimize targeting and campaign impacts.
• Supply Chain & Operations: Predict sales and optimize the distribution chain.
• Internal Activities: Enhance offerings through training, working groups, R&D, and contribute to firm visibility.

Qualifications

• Data Science Expertise: Proficiency in applying data science to marketing challenges.
• Team Leadership: Experience leading high-performing teams, especially in consulting.
• Technical Skills: Expertise in Python, R, SQL, cloud infrastructures (AWS, Google Cloud, Azure), and BI tools (Power BI, Tableau, Qlik).
• Communication: Ability to simplify complex technical info for various stakeholders.
• Project Management: Strong organizational skills for managing projects from start to finish.
• Industry Knowledge: Deep understanding of marketing challenges and key sectors.

Compensation & Benefits