Data Scientist

Location: Northern Suburbs of Chicago, IL
Date Posted: 02-05-2018
NO C2C

CONTRACT-TO-HIRE (Must be able to work for any U.S. employer without restrictions or need for sponsorship)

About the Company

 
Benefits:
 
  • Nine company holidays and two floating holidays
  • Smoke-Free environment
  • Health, Dental and Vision Insurance
  • HSA with employer contribution for individual or family
  • Matching 401K
  • Short-Term and Long-Term Disability insurance
 
As a global company with decades of expertise, our client works with customers to help them navigate market complexity and risk by applying science and expertise and by bringing clarity and empowering trust to support the responsible design, production, marketing and purchase of the goods, solutions, and innovations.  They help companies confirm compliance, enhance sustainability, manage transparency, deliver quality and performance, strengthen security, protect brand reputation, build workplace excellence, and advance societal wellbeing. Some of the services offered include: inspection, advisory services, education and training, testing, auditing and analytics, certification software solutions, and marketing claim verification.  They have created a global network of scientific and advisory experts who can help audiences across hundreds of industries and regions mitigate the uncertainty of global markets and minimize risks.  They optimize the supply chain for manufacturers and retailers and lead in the measures, initiatives, efforts and programs that facilitate global trade; collaborating to establish standards that create level playing fields and works to develop new pathways for the latest innovations.
 
Company at a Glance:
 
  • Employees in over 40 different countries
  • Customers in over 100 countries around the world
  • Over One Billion Consumers
  • Approximately 96,000 product touchpoints
  • Approximately 12,000 employees
  • 170 facilities around the world
  • Over 1600 current standards published
 
Our client consider their employees their most valued asset, and offer challenging and rewarding careers, excellent working conditions, exceptional opportunities for professional and personal development, and competitive compensation and benefits packages.
 
Environmentally Conscience - Conducting business in a manner that respects and protects the environment. Strive to comply with all applicable environmental laws and regWeations in the countries where they conduct business.
 
Community Involvement - Committed to improving the quality of life in the communities in which they conduct business through mission-related initiatives such as youth education programs and funding of public research, as well as through supporting locally relevant community initiatives and employee volunteerism.
 
Integrity – For over 100 years they have built thier reputation for integrity and independence on a policy of strict compliance with the law and the highest standards of moral and ethical conduct.
 
Employee Community Involvement - As active citizens in action, employees shepherd the corporate mission on a local level by fostering good will in communities, schools, natural environments and businesses around the world. Employees are a vital extension and the lifeblood of the ongoing commitment to corporate responsibility.
 
Some RECENT INITIATIVES
  • Partner, Indian Institute of Technology
  • American Heart Association Wear Red Day
  • Blood Drives in Several Corporate Offices
  • Charter Legacy School Program
  • Contributions to Community-Focused Not-for-Profits
  • Contributions to Mission-Related Not-for-Profits
  • Corporate Giving Grants to Charitable Organizations
  • Disaster Relief Efforts Throughout the World
  • Earth Day
  • Environmental Cleanups
  • Food, Clothing, Toy and School Supply Drives
  • Global Green Teams
  • Global Voices Employee Survey
  • Host, Fourth Annual International IP Crime Conference
  • International IP Crime Investigators College With INTERPOL
  • Italian Consumers Study on Perception of Green Products
  • Judge, Local Engineering and Science Fairs
  • Judge, the Future Competition and Awards
  • Member, Disney Planet Challenge Advisory Board
  • Michael J. Miller Scholarship Program
  • National Joint Apprenticeship and Training Committee Scholarships
  • Participant, Habitat for Humanity Build Days
  • Police and Fire Night at U.S. CellWear Field
  • Pro Bono Legal Services, Association of Corporate Counsel
  • Changing Lives Annual Giving Campaign
  • Volunteer, Local Food Banks and Homeless Shelters
 
About the Area
 
Located just north of downtown Chicago and just south of Wisconsin, the area is a vibrant community and an ideal place to live, work, shop and play. The area has a thriving and diverse business community, top-rated schools, outstanding recreational facilities and civic-minded residents who work tirelessly to bring together world class amenities while maintaining the area’s small-town charm. It has long been regarded as one of the premiere communities with its outstanding community amenities, highly ranked educational system, excellent transportation routes, outstanding business climate and prime location, it’s an excellent place to live, work, shop and play.
 
A handful of Fortune 500 companies and close to 800 manufacturing, light industrial and service-related businesses are clustered in the area along with strong retail communities and a premier shopping area. Businesses play a vital role in the day-to-day operations and overall economic health of the region. Every year these businesses generate millions of tax dollars, funds that go directly to support the community, including its schools, Park District, Library, Police, Fire, Public Works and general operations.
 
From kindergarten through high school, the area boasts one of the finest education systems in Illinois. Students consistently score above average on standardized tests including the Prairie State Achievement Examination, ACT and SAT. A wide array of academic programs provides a well-rounded environment.
 
Convenient transportation is one of the area’s most notable attributes. The community has immediate access to the tollway (I-294) and (I-94), and is served by the Metra commuter rail. O’Hare International Airport is also in close proximity. 

Demographics

 Age
% under 20 – 27
% 65 & Older – 18.7
% College Graduates – 62.2

Household Demographics
Mean Household Size – 2.68
% Owner Occupied – 92.4
Median Home Price – $476,500

Income

Median Household – $115,756
Per Capita – $58,804

Labor Market Statistics

Employed Labor Force – 16,061 
Job Positions – 44,570
% Imported Labor – 93.7
% Residents Working in Chicago – 23.7
Average Commute Time of a Resident – 29 minutes

2009 Equalized Assessed Value of Property

Residential – $1,993,265,844
Commercial – $709,300,528
Other – 428,560,023
Total Value – $3,131,130,125

Climate (Average Temperature)

Winter – 21.9
Summer – 76
Average Annual Precipitation – 37.61 inches
Average Annual Snowfall – 49 inches

Transportation

Distance to Downtown Chicago – 20 miles
Avg. Driving Time to Downtown Chicago – 35 minutes
Train Service – METRA/Milwaukee North Line
Over 25 trips to Chicago daily
Average travel time – 45 minutes
Bus Service –PACE Bus Service
For Travel Information on Metra or PACE call the RTA at 847-836-7000
Highways
Edens Expressway (I-94)
Tri-State Tollway (I-294)
Airports
O’Hare International Airport (ORD)
Midway Airport (MDW)
Chicago Executive Municipal Airport
Waukegan Regional Airport
 
About the Position

Our client’s team is data-driven.  In this role, you will be coming into an established team of other big data & cloud experts. The team cares about data but the client isn’t a data company per se. Our client is looking for an R / Python developer and data engineer or a data analyst with experience in the BI or big data space. You will need to be able to perform analysis, touch production code, visualize data, etc. Generally speaking, the client is looking for generalists such as those with data analysis, coding, data analysis and machine learning skills along with the ability to use open source APIs and open source data visualization tools. Other important plus point skills would include familiarity with tools designed for ‘big data’ (e.g., Hive or Pig) and experience with messy, ‘real-life’ datasets. 
 
Basic Tools: You’re going to be expected to know how to use the tools of the trade. This means a statistical programming language, like R or Python, and a database querying language like SQL.

Basic Statistics: At least a basic understanding of statistics is vital if you’re to become a data scientist. An interviewer once told me that many of the people he interviewed couldn’t even provide the correct definition of a p-value. You should be familiar with statistical tests, distributions, maximum likelihood estimators, etc. Think back to your basic stats class! This will also be the case for machine learning, but one of the more important aspects of your statistics knowledge will be understanding when different techniques are (or aren’t) a valid approach. Statistics is important as product stakeholders will depend on your help to make decisions and design / evaluate experiments.
 
Machine Learning: If you’re at a large company with huge amounts of data, or working at a company where the product itself is especially data-driven, it may be the case that you’ll want to be familiar with machine learning methods. This can mean things like k-nearest neighbors, random forests, and ensemble methods – all of the machine learning buzzwords. It’s true that a lot of these techniques can be implemented using R or Python libraries – because of this, it’s not necessarily a deal-breaker if you’re not the world’s leading expert on how the algorithms work. More important is to understand the broadstrokes and really understand when it is appropriate to use different techniques.
 
Multivariable Calculus and Linear Algebra: You may in fact be asked to derive some of the machine learning or statistics results you employ elsewhere in your interview. Even if you’re not, your interviewer may ask you some basic multivariable calculus or linear algebra questions, since they form the basis of a lot of these techniques. You may wonder why a data scientist would need to understand this stuff if there are a bunch of out of the box implementations in sklearn or R. The answer is that at a certain point, it can become worth it for a data science team to build out their own implementations in house. Understanding these concepts is most important at companies where the product is defined by the data and small improvements in predictive performance or algorithm optimization can lead to huge wins for the company. 
 

About You
 
Software Engineer / Data Analyst
 
  • A solid Data Analyst that's interested in a career path toward becoming a Data Scientist
  • Ability to work on data science projects that deal with data crunching, peeping and modeling
  • 4+ years of Development Experience (R and/or Python)
  • 4+ years of experience as a Data Analyst or a Data Engineer
  • 4+ years of experience working in Business Intelligence
  • Experience working with Big Data is highly desired
  • Ability to learn new concepts and ramp up quickly
  • Self-starter
  • Passion for working with data and transforming data into meaningful intelligence that’s usable by the business in meeting its goals and vision
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