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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 chance to make a significant impact on clients' success.
- Qualifications: 8+ years in CPG analytics, strong coding skills in Python, and experience with Market Mix Modeling required.
- Other info: Engage with industry leaders 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
Data Scientist Python - Remote employer: Tiger Analytics
Contact Detail:
Tiger Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Python - Remote
✨Tip Number 1
Familiarise yourself with Market Mix Modelling (MMM) and ROI analytics, as these are crucial for the role. Consider joining online forums or attending webinars focused on these topics to deepen your understanding and connect with industry professionals.
✨Tip Number 2
Showcase your coding skills in Python, particularly with libraries like numpy, pandas, and sklearn. You might want to work on personal projects or contribute to open-source projects that demonstrate your ability to implement Bayesian regression and other data science techniques.
✨Tip Number 3
Network with professionals in the CPG sector, especially those involved in marketing analytics. Attend industry conferences or local meetups to build relationships and gain insights into the latest trends and challenges in the field.
✨Tip Number 4
Prepare to discuss your experience with Databricks and how you've used it in past projects. Being able to articulate specific examples of how you've leveraged this tool will set you apart from other candidates.
We think you need these skills to ace Data Scientist Python - Remote
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and requirements of the Data Scientist position at Tiger Analytics. Tailor your application to highlight relevant experience in Market Mix Modeling and ROI analytics.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 8+ years of experience with CPG clients, particularly any projects related to marketing analytics. Be specific about your contributions and the outcomes of your work.
Showcase Technical Skills: Clearly outline your technical skills, especially your proficiency in Python, Databricks, and libraries like numpy and pandas. Mention any hands-on experience with Bayesian regression and how you've applied these skills in previous roles.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also demonstrates your passion for data science and analytics. Discuss how you can contribute to Tiger Analytics' goals and your enthusiasm for working in a fast-paced, entrepreneurial environment.
How to prepare for a job interview at Tiger Analytics
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, particularly in implementing Bayesian regression and using libraries like numpy, pandas, and sklearn. Be prepared to discuss specific projects where you applied these skills.
✨Demonstrate Your Understanding of Market Mix Modelling
Since the role requires a solid knowledge of Market Mix Modelling (MMM), be ready to explain your previous work in this area. Discuss how you've led projects and the impact your analyses had on business decisions.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this position. Practice explaining complex data concepts in simple terms, as you'll need to convey your analytics approach to business partners who may not have a technical background.
✨Prepare for Business Analysis Questions
Expect questions that assess your ability to translate business questions into data models. Think of examples where you've successfully provided actionable insights from data analysis and how those insights influenced business strategies.
