Staff Machine Learning Engineer

New York
US$10004 - US$300000 per annum + relocation, benefits, bonus

Staff AI MLE


Major Metropolitan areas in USA

( NYC, Boston, Washington DC, Atlanta, Chicago )

Travel required
$250,000 - $300,000 base salary

THE COMPANY

HQ'd in Boston, MA, one of the TOP THREE management consulting firms in the world is looking for their next Staff Data Scientist, having focused on Machine Learning Engineering and AI areas in the past. The focus is on advising clients on strategy, operations, information technology, organization, private equity, digital transformation and strategy, and mergers and acquisition, developing practical insights that clients act on and transferring skills that make change stick. They've consulted most major restructures of companies in the past 20 years, as well as governments and the smartest minds in the world. These individuals typically outperform the market 4 to 1...

THE ROLE

The team of high-impact quantitative technology specialists who solve statistical, machine learning, and data engineering challenges that are encountered in client engagements, is looking for a senior member of the growing Data Science team.

  • Executive presence and persuasiveness for technical and nontechnical audiences is needed as you will be selling to the client executives
  • Collaborate closely with and influence business consulting staff and leaders as part of multi-disciplinary teams to assess opportunities and develop data driven solutions for Bain clients across a variety of sectors
  • Building prototype code for integration of new algorithms to exploratory analysis, construct relevant variables, and perform sample design
  • Defining data requirement to build complex predictive models to drastically improve business operations
  • Research and development for data-driven analysis on structured and unstructured data sets
  • Act as key consultant to recommend and develop innovative solutions
  • 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 features and product enhancements
  • Keep abreast of new and current data science techniques and technologies

YOUR SKILLS AND EXPERIENCE

The successful Lead Data Scientist will likely have the following skills and experience:

  • Executive Presence
  • MS degree or PhD(preferred) in Mathematics, Physics, Statistics, or Computer Science; and other related fields
  • Consulting exp. a plus
  • Applied Machine Learning experience on LARGE datasets, with commercial experience in building predictive models
  • Prior experience with advanced Mathematic and statistical modelling, and applying it to data mining methods (GLM/Regression, Trees, Clustering, SVM, Time Series analysis etc.)
  • FLUENT in Python and/or R, as well as SQL programming!
  • Skilled in data warehousing, cleaning/transforming data for future engineering, and leveraging visualization tools
  • You are highly team-oriented, focusing on COLLABORATION and INTELLECTUAL CURIOSITY
  • Experience in machine learning frameworks and tools (e.g. scikit-learn, mlr, caret, H2O, TensorFlow, MXNet, Pytorch, Caffe/Caffe2, CNTK, MLlib) required
  • Experience with Docker and Git is required
  • Strong verbal and written STORYTELLING abilities

No sponsorship is being offered at this time.

THE BENEFITS

A competitive base salary of $250,000 - $300,000

KEYWORDS

Machine Learning| Python| Management Consulting| SQL| Data Science| Statistics| Change | Quantitative

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2211123
New York
US$10004 - US$300000 per annum + relocation, benefits, bonus
  1. Permanent
  2. Deep Learning and AI

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Harnham blog & news

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

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Blockchain Technologies Find Fuel in the Life Sciences Industry

When Ford first introduced the assembly line, he could only imagine how it would affect the automotive industry. But what about how it could affect supply and demand within the life sciences industry? Automotive and similar factories have been converted before to help build items most needed. Not the least of which, today, is to help supply those in the life sciences industry with the PPE and medical devices they need. Demand is high. Supply is not. Enter blockchain technologies.  As health systems become overburdened and disruptions to ‘normal’ life occur on a global scale, it’s important to ensure critical resources are prioritized. So, what can businesses do to help ensure supply and demand are met in not only these critical times, but for the future. FIVE WAYS TO ENSURE SUPPLY MEETS DEMAND When it’s difficult to supply even the most in demand products, it’s time to take an assessment of various scenarios. These scenarios can help leaders predict what and when they’ll need certain products and critical items. Assess your scenario within the framework of increased disruption.What are your capabilities?Identify the most immediate needs to meet, any risks to be aware of, and take action.Determine any structural changes you’ll need to make.Prepare to pivot. Be aware you may be in a continuous cycle of determining risk, assessing where you are and need to go, any configurations you’ll need to make to get there, and any operational procedures to improve and move forward. By assessing, prioritizing, and visualizing, companies are able to craft a clearer scope of vision. The scenarios created can offer insight into key pieces of planning to help mitigate disruptions of supply chain processes. This crisis will have long-lasting effects and implications from how we work to how we assure supply and demand. It’s in these strange crosshairs, the life sciences industry finds itself at the center of this pandemic, and at the same time is the life force which has given blockchain technologies fuel to improve. No matter where you are on the spectrum of supply chain technology, there is calculated risk to every decision. Just because we’re easing restrictions now, doesn’t mean there won’t be an about face in the next few months, and what companies do between now and then is critical. Supply is already short. Now is the time to take immediate action to help mitigate risk for patients, providers, your clients, and your communities WHAT TO DO NOW AND HOW TO PREPARE FOR THE FUTURE The scale of risk is unlike any leaders have seen in recent years. Its speed adds to the uncertainty as numbers rise, decisions change, and most are left wondering what’s next. Businesses who respond quickly and confidently can help to alleviate some uncertainties, but can craft a plan crucial to understanding the complexities of blockchain within the industry. Strong data, analysis, predictive modelling can help to anticipate any further or potential disruption. Taking these steps can help make businesses more resilient in the future and also help them manage future challenges. It’s integral to have strong, responsive, and resilient risk management capabilities. To do this, your business will want to ensure their capabilities are technology-led platforms which support analytics, machine learning, and artificial intelligence. Whether you’re mitigating risk, preparing an assessment, or determining your capabilities, it’s important to ensure you’re transparent. We are all in this together. Even in business. Transparency builds trust as does assuring supply and demand by mitigating risk. It’s these things which will soon become the basics of business protocols. Business processes have shifted online, looking for your next job has become more daunting than ever before. But here’s the good news. Leaders, hiring managers, recruiters, and prospective employees are all navigating a new way of doing business and finding talent to keep those businesses running.  In the wake of work-from-home policies, remote working, and the shifting landscape of working outside the office, technology careers are prime opportunities to both gain increased knowledge in your chosen field or begin your career path.  If you’re interested in Big Data & Analytics professional opportunities, check out our current vacancies or contact one of our recruitment consultants to learn 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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