Senior Manager Product Analytics & Data Science

New York
US$200000 - US$220000 per year

Senior Manager Product Analytics & Data Science
eCommerce
New York City
$200,000 - $220,000

Are you obsessed with how we can use data to personalize customer experiences and predict behaviors? Do you like to innovate and combine highly advanced analytics techniques with customer-rich data to develop products and services that increase spend and loyalty? If you are a hands-on Product Analytics & Data Science Manager with a highly statistical background in SQL and R/Python, and can build models to predict which products will be the most effective then I have a great opportunity for you to join one the leading analytics teams in the US.

THE COMPANY:

A globally renowned eCommerce business in the heart of New York City that has millions of rows of rich customer engagement data, are looking for an experienced Product Analytics & Data Science leader to come on board to build out their product analytics team, focusing on growth, testing, and product performance, delivering insights into who their customers are, how they engage with the company and creating targeted and efficient communications strategies that will increase new customer acquisition, and reduce retention across all channels.

THE ROLE - Senior Manager Product Analytics & Data Science

As a Senior Manager Product Analytics & Data Science you will be the leader of a multidisciplinary and highly technical team of Data Scientists, User Researchers and Product Analysts who are all technically strong in SQL, and Python/R and answer key business questions about how to personalize, develop and innovate all products and services to ensure customer loyalty and product upsell/cross sell growth. You will:

  • Work with the Director of Data Science to set the strategic vision of the advanced analytics and product growth initiatives, prioritizing projects and ensuring that customer personalization and advanced methodologies are at the forefront of all data-driven decisions made
  • Be a leader; hands on when needed in this innovation team, where you will be focusing on creating new methodologies using customer-rich data to predict the success of products and how customers engage with the brand online, forecasting their growth and conversion using SQL, Python/ R, and delivering insights and recommendations
  • Work with a broad range of hard-to-capture data sets across both online and offline channels to understand customer behaviors, needs, wants and attitudes, turning these into insightful stories that can be used by the product teams to create new personalized products for the individual user

YOUR SKILLS AND EXPERIENCE:

  • Degree educated in Math, Statistics, Operational Research or similar numerical discipline, with a Masters preferred but not essential
  • Strong technical background in SQL, Python/R with the ability to build highly sophisticated models such as time series, regression, decision trees, random forests, xgboost etc
  • Exceptional communicator, with proven capabilities in demonstrating your ability to turn highly complex analyses into stories and customer journeys that can be used by multiple technical and non-technical audiences
  • Background within an eCommerce or retail environment is highly desirable, with the ability to apply complex human behaviors and attitudes to enhance the development of new products or services

BENEFITS:

As a Senior Manager Product Analytics & Data Science you can expect to earn up to $220,000 + benefits (depending on your experience)

HOW TO APPLY:

Please register your interest by sending your resume to Jenni Kavanagh via the Apply link on this page

KEYWORDS:

SQL, Python, R, Analytics, Strategy, Data Science, Product, Retail, eCommerce Advanced Analytics, Business, Time-Series, Regression, Statistical Analysis, Predictive Analytics, Model, Modell, Modeling, Modelling, Senior, Manage, Manager, Senior Manager Data Science, Stakeholder Manager, Customer Acquisition, Looker, Retention, Sales, Growth, Advanced Analytics, Product, Tableau, AWS, Scala, Customer Behavior, A/B Testing

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87431/JK
New York
US$200000 - US$220000 per year
  1. Permanent
  2. Statistical Analyst

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Visit our Blogs & News portal or check out our recent posts below.

Why You Should Always Be Learning In Data Science: Tips From Kevin Tran

Last month we sat down with Kevin Tran, a Senior Data Scientist at Stanford University, to chat about Data Science trends, improvements in the industry, and his top tips for success in the market.  As one of LinkedIn’s Top Voices of 2019 within Data & Analytics. his thoughts on the industry regularly garner hundreds of responses, with debates and discussions bubbling up in the comments from colleagues eager to offer their input.  This online reputation has allowed him to make a name for himself, building out his own little corner of the internet with his expertise. But for Tran, it’s never been about popularity. “It’s not about the numbers,” he says without hesitation. “I don’t care about posting things just to see the number of likes go up.” His goal is always connection, to speak with others and learn from them while teaching from his own background. He’s got plenty of stories from his own experiences. For him, sharing is a powerful way to lead others down a path he himself is still discovering.  When asked about the most important lesson he’s learned in the industry, he says it all boils down to staying open to new ideas.  “You have to continue to learn, and you have to learn how to learn. If you stop learning, you’ll become obsolete pretty soon, particularly in Data Science. These technologies are evolving every day. Syntax changes, model frameworks change, and you have to constantly keep yourself updated.”  He believes that one of the best ways to do that is through open discussion. His process is to share in order to help others. When he has a realisation, he wants to set it in front of others to pass along what he’s learned; he wants to see how others react to the same problem, if they agree or see a different angle. It’s vital to consider what you needed to know at that stage. Additionally, this exchange of ideas allows Tran to learn from how others tackle the same problems, as well as get a glimpse into other challenges he may have not yet encountered.  “When I mentor people, I’m still learning, myself,” Tran confesses. “There’s so much out there to learn, you can’t know it all. Data Science is so broad." At the end of the day, it all comes down to helping each other and bringing humanity back to the forefront. In fact, this was his biggest advice for both how to improve the industry and how to succeed in it. It’s a point he comes back to with some regularity in his writing. “It doesn’t matter how smart you are, stay humble and respect everyone,” one post reads. “Everyone can teach you something you don’t know.” Treating people well, understanding their needs, and consciously working to see them as people instead of numbers or titles—this, Tran argues, is how you succeed in the business. To learn and grow, you must work with people, especially people with different skills and mindsets. Navigating your career is not all technical, even in the world of Data. “The thing that cannot be automated is having a heart,” he tells me sagely. Beyond this, Tran stresses the need for a solid foundation. The one thing you can’t afford to do is take shortcuts. You have to learn the practicalities and how to apply them, but to be strong in theory as well.  Understanding what is happening underneath the code will keep you moving forward. He compares knowing the tools to learning math with a calculator. “If you take the calculator away, you still need to be able to do the work. You need the underlying skills too, so that when you’re in a situation without the calculator, you can still provide solutions.” By constantly striving to collaborate and improve, Tran believes the Data industry has the best chance of innovating successfully.  If you’re looking for a new challenge in an innovative and collaborative environment, we may have a role for you. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more. 

Coronavirus Update: What to expect from Harnham

As we learn more about COVID-19, we want to inform you of the proactive measures Harnham have taken to ensure the health and safety of our employees, while continuing to provide the best possible service to you.  The majority of our service offering will be unaffected by the current situation. All staff are continuing to work remotely and are on hand to support you, although you may experience slight delays in communication or find our phone lines busy. In these instances, we'd ask that you contact the member of the Harnham team that you were last in contact with directly. If you need to find their details, you can contact them via their online profile. Alternatively, you can also contact us via our social media channels and directly via email to our main inbox (UK/EU and USA).  Our Operations and Technology team have been working around the clock over the past weeks to ensure that we are able to continue running processes virtually. This has ensured that we are able to provide our clients with virtual meeting spaces, alongside the opportunity to conduct video interviews and calls without the need for face to face interaction.  We are working with a number of businesses who are continuing to hire, supporting them as they begin putting in place alternative processes. We will be in contact with all candidates who are currently in any process to update on the current situation or any change to process.  If you are currently looking for a new role, all our open vacancies have been updated on our website which you can view here.  In the coming weeks our Marketing Team will be running a number of events such as webinars and online Q&A sessions. I would advise that if you are not already following us on Social Media (Twitter and LinkedIn), that you do so to ensure you don’t miss these. We are also working to provide a range of comprehensive guides covering the challenges that you may face in the current climate.  I’d also like to add, if you have yet to take part in the Harnham 2020 Salary Survey please take a moment to do so, we will be extending this for a further two weeks due to unprecedented demand. All those that take part will be the first to receive a copy of the report.  In the meantime, we're running as close to business as normal as we possibly can, and are still here to support you with any hiring or job-seeking needs. We hope that you are able to look after yourself through this trying time and we look forward to working closely together again when normality returns.  

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