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- Tasks: Lead data science projects in Ecommerce and digital marketing analytics.
- Company: Join Tiger Analytics, a leader in AI and analytics consulting for Fortune 100 companies.
- Benefits: Enjoy remote work options and opportunities for significant career development.
- Why this job: Be part of a fast-growing team solving real-world problems with cutting-edge technology.
- Qualifications: 4+ years in Data Science with expertise in email marketing and strong Python skills required.
- Other info: Collaborate with experienced Data Scientists and engage with industry conferences.
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 Senior Data Scientist with a good blend of data analytics background, who holds solid knowledge of email marketing, online marketing, and retail personalization. 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 Ecommerce with the digital marketing analytics space of Retail.
- Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
- Responsible for designing and maintaining email campaigns, offer optimization, CLTV estimation, affinity modeling, propensity modeling.
- Lead data analytic and modeling approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers.
- Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products.
- Collaborate, coach, and learn with a growing team of experienced Data Scientists.
- 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
- 4+ years of Data Science experience required.
- Graduate Degree in Data Science, Computer Science, or a related field is required.
- Extensive knowledge in email marketing, online marketing, and retail personalization.
- Strong marketing modeling capability in email campaigns, offer optimization, CLTV, affinity modeling, propensity modeling.
- Strong Python coding with production experience is preferred; ML ops knowledge and experience is a plus.
- Excellent domain knowledge in retail/Ecom marketing.
- Ability to apply various analytical models to business use cases.
- Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
- Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
- Be proactive, curious, with a can-do attitude and flexible personality.
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.
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Senior Data Scientist- Marketing employer: Karkidi
Contact Detail:
Karkidi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist- Marketing
✨Tip Number 1
Familiarize yourself with the latest trends in email marketing and retail personalization. Understanding current best practices and innovative strategies will help you stand out during discussions with our team.
✨Tip Number 2
Showcase your coding skills, especially in Python, by working on relevant projects or contributing to open-source initiatives. This practical experience can demonstrate your capabilities and passion for data science.
✨Tip Number 3
Engage with the data science community through conferences or online forums. Networking with professionals in the field can provide insights and potentially valuable connections that may benefit your application.
✨Tip Number 4
Prepare to discuss specific examples of how you've applied analytical models to solve business problems. Being able to articulate your past experiences will show your ability to contribute effectively to our team.
We think you need these skills to ace Senior Data Scientist- Marketing
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Scientist position at Tiger Analytics. Understand the key responsibilities and required skills, especially in data analytics, email marketing, and retail personalization.
Tailor Your CV: Customize your CV to highlight your relevant experience in data science, particularly focusing on your work with email marketing and online marketing. Use specific examples that demonstrate your coding skills and successful projects.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and marketing. Explain how your background aligns with the company's needs and how you can contribute to their goals in the retail and CPG sectors.
Highlight Collaboration Skills: In your application, emphasize your ability to collaborate with cross-functional teams. Provide examples of how you've effectively communicated analytics approaches to business partners and worked with data engineers and developers.
How to prepare for a job interview at Karkidi
✨Showcase Your Data Science Expertise
Be prepared to discuss your previous data science projects in detail, especially those related to email marketing and retail personalization. Highlight specific models you've built and the impact they had on business outcomes.
✨Demonstrate Strong Communication Skills
Since the role requires effective communication with business partners, practice explaining complex analytical concepts in simple terms. Be ready to share examples of how you've successfully communicated insights to non-technical stakeholders.
✨Highlight Your Coding Proficiency
Make sure to emphasize your Python coding skills, particularly any production experience you have. Be prepared to discuss your familiarity with ML ops and how you've applied these skills in real-world scenarios.
✨Exhibit a Collaborative Mindset
This position involves working closely with data engineers and other team members. Share examples of how you've collaborated in past roles, and express your enthusiasm for coaching and learning from others in the field.
