DATA SCIENCE & ADVANCED ANALYTICS PRACTICE
Our investment of time and effort over the last few years diving head first into the Data Science and Big Data space has positioned MDS as one of the clear RECRUITING leaders in this specialty. We focus on building out Data Science & Advanced Analytics teams at industry leading, data-centric clients in Tech (Adtech, Mobile, Social, eCommerce, etc.), Financial Services (Banks, Asset Managers, Lenders, Insurance, Data Providers, etc.), and Major Media firms throughout the United States.
Because we've been recruiting in this relatively new field longer than most staffing firms, our network and intelligence gathering within the Data Science community is second to none. We know how to strategically recruit these folks and/or help guide "A" players to their next great gig. This is a clear advantage of working with MDS. It's a VERY competitive landscape and you need a partner who knows their way around.
We also do our best to educate client's that are new to hiring in this field, as well as, guide careers of recent math/CS-based Masters and PhD graduates, or provide a road-map to transition from other fields. See our popular blog "Data Science Report-Today!" that is designed around just that - getting and keeping you up to speed.
POSITIONS & ROLES WE FILL
Data Scientists, Big Data Analysts, Data Miners & Modelers, Data Engineers, Data Visualization Developers, Machine Learning Experts, Natural Language Processing Pros, Hadoop Ecosystem Experts, Big Data Architects, Distributed Database Devs, and Functional, Real-time Software Engineers (Scala, Java, C++, Erlang, etc.).
DATA SCIENCE & ANALYTICS HAS APPLICATION ACROSS ALL INDUSTRIES
- eCommerce – Personalization & recommendation engines
- Digital Advertising – Highly targeted, real-time, cross-device ad delivery
- Media – Customized content development for audience development and retention.
- Social Media – Increased site “stickiness”, user growth, ability to track fast-breaking trends based on consumer behavior and sentiment.
- Financial Services – Greatly improved credit scoring capabilities, fraud detection, customer acquisition/retention, risk and investment management, market sentiment analysis, etc.
- Power/Energy – Smart grid intelligence, usage efficiency and reduction of downtime
- Information Security – Vastly improved intrusion and theft detection and monitoring of valuable company information and assets.
- Healthcare - Operational efficiency and massive waste reductions. Personalization of drug therapies and treatments, enhanced early detection via genetic profiling, etc.
So How Does One Recruit A Top Data Scientist in Today's Marketplace?
Our experience over the past 2 years recruiting in the field is that there is a clear shortage of talented people who have ALL FOUR of the desired skills and experience most hiring managers want: (1) an exceptional math and statistics mind, (2) experience with the latest open source big data frameworks and programming languages, (3) on-the-job experience within a particular business sector or business-line (domain experience), and (4) the ability to communicate their ideas effectively to the internal and/or external decision makers in order to get things built and generating cash flow.
Given the challenging environment to hire the right people for your Data Science Team that also jive with your culture, one needs to come with a well-defined strategy and tactical approach to hiring these stars of the industry. It’s the “A” players that can often determine success or failure of your business endeavor. We can help.
Where the needs of the world and your talents cross, there lies your vocation – Aristotle
Director, Data Science and Analytics Practice
(732) 772-0200 Ext. 102
Data Scientist and Software Developer at Bloomberg
Before meeting Ted, I had worked with a couple of recruiters, and my experiences have been diverse, to put it generously. But Ted is truly an excellent recruiter, by far the best recruiter I have ever worked with. He is extremely knowledgeable about data mining and NLP, and he took the time to really understand what my CV was about, going as far as to ask me about the details of my individual projects. He knew which companies would be the best matches, and which companies wouldn't.
Moreover, I think the mark of a good recruiter is who they know inside organizations - many recruiters only interface with HR. He seemed to always be on the phone with people inside the companies, even going as far as attending a conference to put my name and resume out there. He set me up with a terrific job in NYC which. I cannot recommend Ted highly enough - he will work hard for you, and get you into the best opportunities.
SVP, Data Science at Tapad
Ted (O’Brien) is an excellent recruiter and first suggested Tapad to me. He demonstrated a desire to better understand what I was looking for and offered useful guidance throughout the entire process. Combined with the selectivity and confidence with which he presented opportunities made him a pleasure to work with.
Data Scientist at iHeartRadio
Ted is an excellent recruiter, and it was a pleasure working with him. He invested the time to get to know me in-person, understand my strengths, and discuss best ways to position me as a candidate in front of potential employers. He was quick in matching me up with data science companies/positions that were a good mutual fit. I would absolutely work with Ted again, and would recommend Ted to all candidates and hiring managers in the field of data science & analytics.