1 день назад
Lead Data Scientist (FMCG)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Scientist (FMCG) (Statistics/Data Science): Designing and delivering advanced data science solutions for consumer intelligence, market research, and retail clients with an accent on large-scale data analysis, methodological innovation, and client-facing strategy. Focus on building prototypes, translating business needs into analytical solutions, and leading, coaching, and developing data science teams.
Location: Hybrid work at Millennium Centennial Center, Jakarta, Indonesia
Company
is a consumer intelligence company providing retail measurement, consumer insights, and advanced analytics through digital platforms.
What you will do
- Own data science solutions for market-specific products, services, client requests, and complex analytical issues.
- Translate client and business needs into analytical strategies and innovative data science solutions.
- Design and conduct studies, tests, proof-of-concepts, and prototypes using advanced analytics and large, diverse datasets.
- Partner with country, commercial, product, technology, and client leaders to support business objectives.
- Collaborate with data science units and third parties to evaluate capabilities and datasets for new solutions.
- Lead the team, set performance objectives, and coach junior data scientists.
Requirements
- Degree in mathematics, data science, statistics, or a related field involving statistical analysis of large datasets.
- At least 6 years of experience in market research or a relevant field.
- Solid understanding of the CPG/FMCG industry and retail-market impact on client businesses.
- Strong knowledge of statistics, data analysis, critical thinking, problem-solving, and business acumen.
- Good leadership, people-management, coaching, stakeholder, client-facing, and consultative skills.
- Great command of written and spoken English is required.
Nice to have
- Experience with consumer-sourced data solutions.
- Knowledge of Python, R, Spotfire, Tableau, mapping tools, and contemporary database systems.
- Familiarity with machine learning, marketing analytics, experimental design, and consumer behavior analysis.
- Familiarity with Nielsen systems and products and project management.
Culture & Benefits
- Hybrid and flexible working environment.
- Access to the latest digital technologies and ongoing training.
- Opportunities for personal and professional growth.
- Volunteer time off and LinkedIn Learning.
- Employee Assistance Program.
- Compensation linked to individual performance and company results.
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