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Executive Director of Data Science & Innovation
$250,000 - $300,000 base salary + BONUS!
Looking to find a highly skilled and educated member of the NY Data Science community who has an interest in generating massive profits for an established team, and researching the best ways to stay in front of the most innovative methods of ML and AI.
A massive and global Investment Bank born and raised here in Manhattan, is seeking an Executive Director of Data Science who has experience with Deep Learning and research focused finance in relation to Data Science. In this role, you will be managing a centralized team of PhD-level Data Scientists, and you will be partially hands-on helping to develop Time Series and Deep Learning-related models and projects for use throughout our entire organization, while also having the wherewithal to be able to translate your communication style to brush shoulders with top names in the business.
We place a strong value on collaborative teamwork and work-life balance, and many of the people that join us stay with us for the long-haul to build their career.
Aiming to harness the value of our operations team's immense collection of data is a huge business initiative, and the firm wants to make a strategic hire a to drive innovation and launch the firm towards future success. The role is a hugely senior level team member who is a deep thinker and will have a powerful voice in driving company growth. They live to create hypotheses, solve problems, and present any and all assumptions back to essential stakeholders by owning the solution from end to end. If freedom, autonomy and head scratching professional challenges rock your world, we could be a great match. Some responsibilities include:
· Building prototype code for integration of new algorithms to exploratory analysis, construct relevant variables, and perform sample design
· Research and development for data-driven analysis on structured and unstructured data sets
· Act as C-Suite contact
· Analyzing large, complex data sets, solving problems using advanced statistical and Machine Learning techniques
· Work collaboratively with engineering and product management teams to integrate new quantitative features
YOUR SKILLS AND EXPERIENCE
The successful Candidate will likely have the following skills and experience:
· ONLY CONSIDERING PhD degrees: in Mathematics, Econometric, Physics, Statistics, or Computer Science, OR RELATED
· Applied Machine Learning experience on LARGE data sets, with commercial experience in building predictive models
· Prior experience with advanced Mathematics and statistical modelling, and applying it to data mining methods (GLM/Regression, Trees, Clustering, SVM, Time Series analysis etc.)
· FLUENT in Python (most libraries REQUIRED) and/or R, as well as SQL programming, and DEEP LEARNING LIBRARIES AS WELL
· Skilled in data warehousing, cleaning/transforming data for future engineering, and leveraging visualization tools
· You are highly team-oriented, focusing on COLLABORATION and COMPETITION
***NO SPONSORSHIP IS AVAILABLE AT THIS TIME***
A competitive base salary of $ 250,000 - $300,000 + Bonus +Flex PTO + Full benefits + Possible Stock Purchase Options..
Machine Learning| Python| Tableau| Data Science| Statistics | Trading/FX | Capital Markets
US$170000 - US$200000 per annum + + competitive benefits
San Francisco, California
This well established fintech business is looking to make an experienced hire into their data science team with a key focus on machine learning.
€42054 - €44267 per annum
Lille, Nord-Pas de Calais
Opportunité unique de leader les efforts Data Science d'une société leader du panorama media Français!
US$150000 - US$170000 per annum
San Francisco, California
Looking for a new challenge? Lead a team of accomplished Data Scientists as they tackle exciting, ever-evolving challenges in the entertainment space.
US$170000 - US$200000 per annum
Do you love gaming? One of the top video-game producers is looking for their next creative and algorithm-savvy Data Scientist to join BEFORE Thanksgiving!
US$140000 - US$160000 per annum + bonus, equity, holidays
Salt Lake City, Utah
Looking for deep learning data scientist to work on cutting edge technology that could revolutionize the relationship of advertisement and entertainment.
With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.
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I'm excited to announce the launch of our 9th annual Salary Survey. Covering salaries, diversity, benefits and technologies, our published Salary Guide is known for reflecting and driving trends within the Data & Analytics industry. As ever, we can't put together our guide without your input, so we are extremely grateful to everyone who is able to take part. This year, one participant will win a £500 Amazon Voucher (or an equivalent amount in your local currency). You can read all the terms and conditions for this here. The survey takes around 10 minutes and we would love to hear your thoughts. All submissions are 100% confidential and will only be used to provide an overview of the industry as a whole. You can choose the survey relevant to you below: UK Survey US Survey EU/EEA Survey In the meantime, you can download a copy of last year's completed Salary Guide here. We look forward to sharing our latest results with you later in the year.
21. January 2020
Recent editor picks on LinkedIn highlight how jobs will change in the future. But as changes come, there are a dizzying array of tech advancements, products, and more in the job market landscape.If you’ve been looking through the telescopic lens of the Digital transformation and wonder, what’s next? Well, we may have a role for you. If you’re a business and wonder what’s next, we have some ideas to help you identify, hire, and retain top talent within the Data professional industry. Setting a Mindset Shift We have reached a time in which simply adding the word “tech” to something has shifted. Thinking digitally, or the Digital transformation combines the why with who, how, and which. Who does our technology impact, how will it change how they work, and which advancement is best suited to answer the call? Below are just a few things to consider when developing your: Recruitment is a process, not a transaction. Interaction instead of reaction.Factor in not only human skills, but machine skills as well.Make employee experience a priority. Experience leads to Data which leads to Insights.Artificial Intelligence and Machine Learning have a wider role to play within the recruitment space.Base software selection decisions on user experience. Include everyone who will use the software in both the vendor demonstration and the decision process.Seek references from vendors to foster trust and connect with other organizations.Cloud based solutions far outweigh non-cloud solutions in today’s business climate. These are just a few suggestions to consider as you rethink your HR strategies. Incorporating technology with the human element is a new road for many businesses and essential for the future of work. Design for Data and Insights Whether you’re talking about the employee experience or the customer journey, it’s important to design the process to generate Data. When you use design thinking, you put people at the center and from there can measure the variables which offer insights into thoughts and feelings. When you know these answers, you can always be improving and optimize for success. As you consider what to invest in next, remember to think about the Data first. Use your workforce insights to determine the best way to move forward and understand how people impact your business. Measure effectiveness, but understand workforce insights go hand-in-hand with delivery. Rather than operating individually in a separate silo, everything is interconnected, just like in our day-to-day lives. It’s this connectedness which is the greatest shift. From our phones, our iPads, our laptops, and so on, we are able to tap into workforce solutions and find at its center a structurally sound HR strategy to ensure next gen talent is identified, hired, and retained. While we often speak of what you can do to retain your top talent, another focus might be how you communicate with leadership. To ensure everyone is on the same page, it’s important to be sure messaging is consistent across your organization. It’s this messaging along with new systems and strategies in which training and education play an even bigger part than in the past. There’s so much to learn and it comes so fast, that adoption of new technologies must be thought out in advance. Try to avoid chasing the next shiny object or new advancement and have a plan in place for staff and stakeholders to follow. Setting your top priorities now, as we enter a new decade of Data, can help ensure you’re proactive in your business strategy, not reactive. If you’re interested in AI, Big Data and Digital or Web Analytics, we may have a role for you. Check out our current opportunities or get in touch with one of our expert consultants to learn more. For our West Coast Team, call (415) 614 - 4999 or send an email to firstname.lastname@example.org. For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to email@example.com.
16. January 2020