VP, Data Science and Machine Learning

Boston, Massachusetts
US$170000 - US$190000 per year

VP, Data Science and Machine Learning
Tri-State Area
$170,000 - $190,000 + Competitive Benefits

The Company

Harnham is working exclusively with a top NYC company to find an influential leader with a track record to research innovative methods, and develop projects and products for a team of some of the industry's best data scientists and machine learning engineers. This high-visibility role will catapult you in to a visible role within an amazing company that's making millions in revenue!

You will be at the center of the action in the center of the city at the center of the universe! (Do you know who the client is yet?) - working closely with other executive leaders and management across different functions of the organization to drive innovation for the real-time capacity that this team is known for! With your remarkable experience implementing a technical and business acumen, you will have an opportunity to make major decisions in the infrastructure and direction of the team.

This organization is developing revolutionary algorithms, and deep reinforcement learning is their bread and butter. You will be improving the content that is collected from a fraud standpoint. This organization is globally recognized and you will be part of that magic! They are not letting good talent fly by - and are investing all efforts to give the best experience to consumers and employees, alike.

The Role

You will:

  • Oversee a team of leaders that work to develop, implement, and optimize machine learning and deep learning models for a better consumer experience
  • Communicate with stakeholders and leaders from various verticals to define business goals and deliver business insight
  • Demonstrate a high level of ownership of tasks at hand, including timeliness, proactivity, and passion to develop your team to raise the bar
  • Collaborate with world-class data scientists and engineers to make an impact in the world!

Skills and Expertise

You have:

  • Expertise working with a team that develops in Python to productionize machine learning models for large-scale data sets
  • HUGE PLUS! Industry experience deploying models based on Deep Learning, Reinforcement Learning, and/or Bayesian statistics frameworks
  • Strong capacity to work with Big Data tools and streaming technology, including Kafka, Hadoop, and AWS
  • Extensive knowledge of Machine Learning and Deep Learning model production for content analysis and financial data optimization
  • You've worked in fraud systems and Cybersecurity initiatives
  • MASTERS OR PHD DEGREE IS NECESSARY
  • Exceptional communication skills and a passion for data!
  • NO SPONSORSHIP AT THIS TIME

Benefits

$170,000- $190,000 + Competitive Benefits

  • Great 401K package
  • Relocation and/or Sign-on Bonus
  • Open to Visa Sponsorship/Transfer

How to Apply

Please register your interest using the Apply button on this page.

For more information on this and other Data Science and Machine Learning roles, please contact Rachael Baker at Harnham.



KEYWORDS
Python, R, Machine Learning, Natural Language Processing, NLP, Linguistics, Computational Linguist, Big Data, AI, Artificial Intelligence, Java, Text Processing, Hadoop, Spark, AWS, SQL, Modelling, Algorithm, Social Media, Social Analytics, Content Analysis, Sentiment Analysis, Data Scientist, Data Science, Big Data, Scikit-learn, TensorFlow, PyTorch, Keras, Classification, Clustering, Extraction, Retail, Financial, Fin-Tech, Ad-Tech, Advertising, Gaming, Supply-Chain Logistics, Consumer Behavior, Membership, Product Development, Product Analytics, Time-Series, ARIMA, Bayes, Deep Learning, PySpark, Stakeholders, Manager, SVP, Executive

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896890745247
Boston, Massachusetts
US$170000 - US$190000 per year
  1. Permanent
  2. Data science

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With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

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

How To Make A Mid-Career Move Into Data & Analytics

The world of work has changed and in the world of tech, it’s in a league all its own. While some articles ponder the strange strategy of school and work start and end times, others talk about the hottest jobs on the market. We already know Big Data, Analytics, and anything data-related is the place for aspiring data professionals. Both universities and businesses have amped up their curriculum and offers to help skilled workers keep up with the demand. Skilled workers. These are the people needed to fill the jobs of the future. The jobs automation can’t do, not yet. The jobs which require the human element like why a consumer buys one product or service over another (read: gut instinct). Gut instinct. It’s something developed through our human experiences. But what about those aspiring Data professionals who are coming from other industries and not directly from university. What would someone who wanted to make a mid-career change need to consider before making their move? 11 Things to Consider About Your Mid-Career Change While everyone has different reasons for changing career paths, two of the most common are money and unhappiness. For more about what employees want to remain in their job, check out this year’s Diversity Report. Mid-career changers making the leap into the tech industry plan for a year.  As you plan, think about these questions, and find your why. Then, figure out how. Are you looking for a more challenging role?Looking for advancement opportunities?Do you want more flexibility in your career?Do you just want to move location or do your motivations run deeper?Are you ready to be a student again? Are you willing to “learn the ropes” again – processes and frameworks?Do you have the support of your family as you enter this next phase of your life?What’s the best way for you to learn the technical skills required? Is it a university degree, or a combination of degree, certification program, and/or bootcamp?Are you prepared for the costs associated with a career-change? Not just moving from employee to student, but prepared for the right business for your newly acquired skills.Do you have what it takes to make your desired career change? Are you prepared for the challenges, pitfalls, and triumphs change and new projects brings? You’ve thought long and hard about these questions. Your family’s on board. You’ve made it through an intensive educational program, and you’re ready for next steps. So, now what? Well, we’ve got a few articles you might want to check out to learn best practices for applying in this industry. Though you may have an edge in your business knowledge, goals, processes, and implementation of technologies, there are a few other pieces we can offer to round things out. We want to help set you up for success with tips for your resume, including how to boost it with video, and add a layer of depth without shedding the basics. And to round it all out, check out our article on how to rock your interview.  Over to You  If you’re interested in making a career-change into the world of data, let us know how we did with this article. What other questions do you have? And if you’ve made the leap, we’d love to hear from you about your journey into Data Science or other position in the Data and Tech industry. If you’re interested in Big Data & Analytics, Bioinformatics, Computer Vision, or Data Science, we may have a role for you. Take a look at 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 sanfraninfo@harnham.com.  For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com

COMPUTER VISION AND MORE. WHAT’S IN STORE FOR 2020?

Computer Vision and More. What’s in Store for 2020?

For years, we’ve been blending tech with tradition as technological advances have moved us forward. At the heart of it all are Data, the Internet of Things (IoT) and the Industrial Internet of Things (IIoT). Demand is high for advanced connected devices and at the industrial level, this means robots. According to market reports, the smart robot market is expected to be worth just over $14 billion by 2023. As we reach the turn of the decade, there are a few other trends to be mindful of as well. These include such disruptive technologies as automation, phygital spaces, smart buildings, and digital twinning to name a few. While disruption may often be evocative of something negative. In the tech world, it isn’t. But how the technologies are used and what they’re for may change our world, not unlike the invention of electricity changed the world of agriculture into the Industrial Age. With that in mind, here are some of the most disruptive technologies for 2020: Robots & Automation It’s almost a broken record, isn’t it? How quickly technological advances are marching across our landscape of connected devices? But the immersion of these devices into our lives offer a variety of interactions far beyond that we’ve so far imagined. AI-enabled robots, for example, are able to interact and respond to time crunched human situations. There’s more to robots and automation than meets the eye and the additional technologies just might have the answers to the challenges we are facing and will face in the future. Phygital Spaces  What if you could go to a baseball game with the experience of being at the game without leaving your couch? What if you could watch a race as though you were a participant? What if…? What if the technology to do this was already here? Enter phygital spaces, the blending of physical spaces and digital technology by bringing together AR, VR, mixed, and human reality.  Ready, Player One? Predictions are in for the growth of the AR/VR Industry to a $160 billion industry in the next three years.  Smart buildings  Since 2000, the smart building market has been expanding. Voice Assistants, smart home tech, and IoT allow you to check on your home’s safety from a remote location, control your temperatures, and even let the cable man in (if you still have it) without ever leaving your office.  However, immersive experiences are also becoming part of business management systems as well. The common denominating factor in these new advances? Where once you controlled each stage, now, based on preferences, changes will be made by measuring heat signatures, time of day, or some other assigned metric.   Safety & Security Come First As exciting as these advances are, there is one important thing to remember. While robots have become smarter and we offer an abundance of Data to varying degrees for our convenience, robots are not human. They may be able to reason in bits and bytes, but moral reasoning remains an entirely human endeavor. GDPR in the UK. Data Privacy Regulations state by state across the United States. They are steps in ensuring your Data’s safety and security, but as we increasingly combine and blend robots and automation, AR and VR technologies, digital twinning, voice assistants, and more across our connected devices its important to be aware and careful what you do on networked systems. No matter how strong your password, no matter how secure your system, everything can be hacked. Want to get a jump on your 2020 job search? If you’re interested in Computer Vision, Robots and Automation, Big Data and Digital or Web Analytics, 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 learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.  For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com.

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