At a Glance
- Tasks: Lead data science projects in marketing analytics for CPG clients, focusing on Market Mix Modelling.
- Company: Join Tiger Analytics, a leader in AI and analytics consulting for Fortune 100 companies globally.
- Benefits: Enjoy remote work options, career development opportunities, and a dynamic entrepreneurial environment.
- Why this job: Be part of a fast-growing team solving real-world business problems with cutting-edge technology.
- Qualifications: 8+ years in CPG analytics, strong coding skills, and experience with Market Mix Modeling required.
- Other info: Engage with industry leaders and contribute to innovative solutions in a collaborative setting.
The predicted salary is between 43200 - 72000 £ per year.
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. We are also market leaders in AI and analytics consulting in the retail & CPG industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
We are looking for a Lead Data Scientist with a good blend of data analytics background, who holds solid knowledge of Market Mix Modeling and ROI analytics, is a quick learner, and has strong coding capabilities to add to our team.
Responsibilities:- Work on the latest applications of data science to solve business problems in the Marketing analytics team of the CPG space.
- Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
- Develop clear, concise, actionable solutions and recommendations for Client's business needs.
- Work with client analytics team to carry out Market Mix Modelling / ROI analytics.
- Undertake hands-on work on data analytics, model development and testing, and preparing the data files for visualization platforms.
- Undertake business analysis on the data and provide insights.
- Coordinate with decision makers to translate business questions into a verifiable hypothesis and data models.
- Work hands-on across various analytics problems and provide thought leadership on problems.
- Interact with onsite team as well as client on a daily/weekly basis to gather requirements and provide updates.
- Stay connected with external sources of ideas through conferences and community engagements.
- Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.
- 8+ years of experience working with CPG clients or in a CPG company.
- Graduation or Post graduation in Statistics, Mathematics, Management, etc.
- Must have worked with Marketing analytics teams and understand Market Mix Modeling (MMM) work comprehensively.
- Must have led multiple projects on MMM analytics.
- Experience in pricing and promotion analytics is a plus.
- Must have experience with Databricks.
- Implemented Bayesian regression on Python.
- Exposure to libraries like numpy, pandas, sklearn, pymc3.
- Hands-on experience in PowerPoint / Excel is a must.
- Strong logical, analytical, and problem-solving skills.
- Adept at report writing and presenting findings.
- Excellent verbal and written communication skills.
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Principal Data Scientist- CPG employer: Tiger Analytics
Contact Detail:
Tiger Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist- CPG
✨Tip Number 1
Familiarise yourself with the latest trends in Market Mix Modelling and ROI analytics. Attend webinars or workshops related to these topics to enhance your understanding and show your commitment to staying updated in the field.
✨Tip Number 2
Network with professionals in the CPG industry, especially those who work in data science roles. Engaging with them on platforms like LinkedIn can provide insights into the skills and experiences that are currently in demand.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully applied data analytics to solve business problems. Be ready to explain your thought process and the impact of your work on previous clients or employers.
✨Tip Number 4
Showcase your coding skills by working on personal projects or contributing to open-source initiatives that involve Python and relevant libraries. This hands-on experience will demonstrate your technical capabilities and passion for data science.
We think you need these skills to ace Principal Data Scientist- CPG
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in CPG and marketing analytics. Emphasise your knowledge of Market Mix Modelling and ROI analytics, as well as any relevant projects you've led.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data science in the CPG sector. Mention specific examples of how you've used data analytics to solve business problems and how you can contribute to Tiger Analytics.
Showcase Technical Skills: Clearly outline your technical skills, especially your experience with Databricks, Python, and relevant libraries like numpy and pandas. Provide examples of how you've applied these skills in previous roles.
Prepare for Interviews: Be ready to discuss your hands-on experience with data analytics and model development. Prepare to explain your approach to solving business problems and how you communicate findings to stakeholders.
How to prepare for a job interview at Tiger Analytics
✨Showcase Your Technical Skills
Make sure to highlight your experience with Market Mix Modelling and ROI analytics during the interview. Be prepared to discuss specific projects where you've applied these skills, especially using tools like Databricks and Python libraries such as numpy and pandas.
✨Communicate Clearly
Since effective communication is key in this role, practice explaining complex data concepts in simple terms. Think about how you would present your findings to non-technical stakeholders and be ready to demonstrate your ability to translate data insights into actionable business recommendations.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your analytical and problem-solving skills. Prepare examples from your past experiences where you successfully tackled business problems using data-driven approaches, particularly in the CPG sector.
✨Engage with the Interviewers
During the interview, don't hesitate to ask questions about the company's current projects or challenges they face in the CPG space. This shows your genuine interest in the role and helps you understand how you can contribute to their success.