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- Tasks: Join our Marketing analytics team to tackle real-world business challenges using data science.
- Company: Tiger Analytics is a leader in AI and analytics, serving Fortune 100 companies globally.
- Benefits: Enjoy remote work flexibility and opportunities for career growth in a dynamic environment.
- Why this job: Be part of a fast-growing sector with a focus on innovation and impactful solutions.
- Qualifications: 8+ years in CPG analytics, strong coding skills in Python, and experience with Market Mix Modeling.
- Other info: Engage with global teams and stay updated through conferences and community events.
The predicted salary is between 43200 - 72000 £ per year.
Social network you want to login/join with: 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. 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 daily/weekly basis to gather requirements/ 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. Requirements ~8+ years of experience of 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. #J-18808-Ljbffr
Remote Data Scientist (Python) employer: Tiger Analytics
Contact Detail:
Tiger Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Scientist (Python)
✨Tip Number 1
Familiarise yourself with Market Mix Modelling (MMM) and ROI analytics. Since this role specifically requires expertise in these areas, being able to discuss recent trends or case studies during your conversations can really set you apart.
✨Tip Number 2
Brush up on your Python skills, especially with libraries like numpy, pandas, and sklearn. Being able to demonstrate your coding capabilities in practical scenarios will show that you're ready to hit the ground running.
✨Tip Number 3
Engage with the data science community by attending relevant conferences or webinars. This not only helps you stay updated on industry trends but also provides networking opportunities that could lead to referrals.
✨Tip Number 4
Prepare to discuss how you've effectively communicated complex analytics to non-technical stakeholders in the past. This role involves collaboration with business partners, so showcasing your communication skills is key.
We think you need these skills to ace Remote Data Scientist (Python)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly with Market Mix Modeling and ROI analytics. Use specific examples from your past work that demonstrate your coding skills in Python and familiarity with tools like Databricks.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their needs, especially your experience with CPG clients and your ability to communicate complex analytics to business partners.
Showcase Your Projects: If you have worked on relevant projects, consider including a portfolio or a brief description of these projects in your application. Highlight any hands-on work with data analytics, model development, and visualization platforms.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. Ensure that your writing is clear and concise, reflecting your strong communication skills as required by the job.
How to prepare for a job interview at Tiger Analytics
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, particularly in relation to Market Mix Modelling and ROI analytics. Highlight specific projects where you've implemented Bayesian regression or used libraries like numpy and pandas.
✨Communicate Clearly
Since the role involves interacting with business partners, practice explaining complex data concepts in simple terms. Be ready to demonstrate how your analytical approach can address their business objectives.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled challenging analytics problems in the past. Discuss your thought process and the innovative solutions you developed, especially in the CPG sector.
✨Engage with the Company’s Vision
Research Tiger Analytics and understand their position in the AI and analytics market. Be ready to discuss how your skills align with their goals and how you can contribute to their growth in the retail and CPG industry.
