Senior Data Scientist

New York
US$13500 - US$145000 per annum + Great Work Life Balance

Data Scientist
New York - New York
$125,000 - $145,000 base + EOY 30% bonus + company options
This is an opportunity for an innovative Data Scientist to cut their teeth in difficult problems in cutting edge, data-first, environment. You will have the opportunity to work in expanding eCommerce company that just received $300 million in their Series C funding. If you are looking for the chance to take your skills to the next level and work in an environment where your work with produce actionable commercial result - this is the role for you.
THE COMPANY
This is an established brand that is expanding their team and always looking to bring on new clients in the world of fitness and well-being. They are becoming a full lifestyle brand and as a Data Scientist on this team you'll find yourself working closely with both Data leaders and engineering teams and will enjoy the pace and innovation that runs through the company culture. For those ready for new challenges in machine learning and a fast-paced environment, you'll enjoy the perks that this company can offer you.

THE ROLE
As a Data Scientist on this team, you will be asked to be forward thinking in your approach to applying analytical techniques to advancing the departments capacity. You will add to their implementation for machine learning for both internal and external projects with a lot of room for typical and advanced ML techniques: recommendations, user acquisition. With a rich and varied dataset to work from, you'll have the chance to apply your machine learning and algorithmic techniques to behavioral data that will change the way that the advertisers will perform.
You will work mostly independently and use your strong analytic skills to finish projects with strong Python coding skills.
You will be using complex algorithms so strong research backgrounds are encouraged.
Day-to-day will be about 80% productionizing models for deployment and 20% research.
YOUR SKILLS AND EXPERIENCE
You will need to be a proven problem solver, critical thinker, and have an advanced technical background to join this growing, yet experienced team. The successful Data Scientist will likely have the following skills and experience:
Ph.D. preferred with should dedication to research.
Proven commercial experience with significant data sets with the ability to code from scratch in SQL and model in Python with familiarity in AWS.
Prior exposure to big data technologies like Hadoop, Hive, and Spark.
Have a background in computer science, statistics, or engineering with an understanding and commercial experience with Bayesian Statistics.
Previous work in expanding the use of Machine Learning in a business, with strong experience in the following techniques: Deep Learning, NLP, Keras, and RNN)
THE BENEFITS
A competitive base salary of up to $145,000+ 30% bonus

HOW TO APPLY
Please register your interest by sending your résumé to Sam Agre via the Apply link on this page.

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099490
New York
US$13500 - US$145000 per annum + Great Work Life Balance
  1. Permanent
  2. Deep Learning and AI

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Positions in Data & Analytics are highly sought after in the US. With a widening talent pool due to the rise of flexible working, shifting skillsets and requirements for more professionals working in data and tech, the sector continues to experience unprecedented growth; regardless of the global pandemic pulling at the very core of the business community. For candidates, the Data & Analytics job market will be more active than ever. In our most recent US Data & Analytics Salary Guide, this was clearly identified. In fact, post-COVID, more respondents were either actively seeking, or willing to move for, a new role than they were in 2019. As businesses look to streamline existing processes and establish new ones, they are more reliant on Data professionals than ever before. Yet, candidates in this market have re-evaluated their needs and the incentives they value, shifting their priorities in the wake of COVID-19. With the impact of COVID-19 felt in almost every part of our day-to-day lives, it wasn’t long until conversation turned to what ‘the new normal’ would look like once the worst of the pandemic had passed. However, for those in the Data & Analytics space, the new normal wasn’t as new as first thought - it had been gradually establishing itself over the past few years. When seeking a new role, respondents prioritized career progression over salary increases, as well as an emphasis on job security and working for a stable and growing business. The needs of the multi-generational workforce in a post-COVID world has never been more dynamic than it is today. It was evidenced that financial ambitions have decreased slightly as a result of the pandemic. Interestingly, ‘a more competitive salary’ was the top reason for seeking a new role. Post-COVID, not only do respondents seek career progression over a salary increase, they also put a significantly greater emphasis on job security and the need to join a stable and growing business.  Specifically, for Data Engineers in the current market space, 80 per cent of professionals would leave their role if the right opportunity came up. This falls in parallel to digital analytics experts, of which 82 per cent would leave their role if the right opportunity came up. This is perhaps unsurprising as the full economic impact of the pandemic has yet to be established. Attracting the best hire for your business is going to be one of the core challenges of our time. Period. The focus for American organizations needs to be on hiring for the needs of tomorrow, rather than for the demands of today. A forward-thinking business will have the critical vision needed in order to keep pace with the market in its current state. Data professionals are in the driving seat; that’s a certainty. Their holistic skillset, understanding and application of core technologies such as SQL, Python, AWS, Kubernetes and Spark position them well when seeking to secure their next role. It is up to organizations to maintain their momentum as we acknowledge that for Data & Analytics, continuing on the trajectory of growth in the ‘new normal’ is something very few outside of this space saw coming. If you're looking for a new opportunity in the world of Data & Analytics or to expand your Data team, we may be able to help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more: For our West Coast Team, contact us at (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.    For our Mid-West and East Coast teams contact us at (212) 796-6070 or send an email to newyorkinfo@harnham.com.  

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