Data Scientist at Paylocity

| Northwest Suburbs
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As a Data Scientist, you will help Paylocity discover the information hidden in vast amounts of data, to help our customers make smarter human capital decisions that drive organizational success. Your primary focus will be to apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.

Are you the teammate we are looking for?

Who you are:

  • Enthusiastic about advanced analytics and how predictive insights lead to a superior customer experience
  • Invested in staying current in data science by applying new technologies and practices
  • Able to work in a collaborative environment with a desire to share your ideas
  • Able to work independently on modules and complete tasks with high quality, but unafraid to seek out suggestions from other team members
  • Excited to work on cutting-edge technology!

During the first three months at Paylocity, you will:

  • Select features, build and optimize classifiers using machine learning techniques such as random forests, xgboost, TensorFlow, linear regression, time series methods
  • Collaborate with Product Owners, Sales Leaders, Enterprise Architects and other executives to translate complex human capital management challenges into data science projects
  • Extend company’s data with third party sources of information when needed
  • Enhance data collection procedures to include information that is relevant for building analytic systems
  • Leverage cutting edge big data technologies on AWS and Microsoft Azure
  • Conduct ad-hoc analysis and present results in a clear manner
  • Create automated anomaly detection systems and tracking of its performance
  • Work closely with full stack .net engineers in an agile product development environment

What you bring:

Demonstrated ability to leverage data science to drive business results. Some ways previous successful candidates have demonstrated this are:

  • 3-6 years of data science success at other software companies
  • Recognized success for data science skills via academic awards, scholarships or corporate recognition programs (Employee of the Year, etc.)

Experience in writing production grade machine learning models in Python. Some ways previous successful candidates have demonstrated this are:

  • A portfolio of publicly available data science projects that resulted in a fully functioning piece of software
  • Strong academic publication or speaking record in organizations such as ICML, NeurIPS, JML, KDD, and INFORMS
  • History of strong performance in Kaggle competitions
  • Experience with cloud infrastructure on AWS or Azure

Skilled at translating business problems into data science problems and communicating the results to non-technical audiences. Some ways previous successful candidates have demonstrated this are:

  • A resume or cover letter outlining previous experience leveraging data science across many domains
  • A professional or academic track record of teaching mathematical or data science concepts to non-traditional audiences

Experience or interest for leveraging technology and data to empower employees. Some ways previous successful candidates have demonstrated this are:

  • Professional or academic experience in HR, social science or psychology

Advanced degree (Masters or Phd) preferred in computer science, industrial engineering, statistics, industrial organizational psychology, neurology, public policy, linguistics or other quantitative field preferred. Bachelor’s degree required.

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Technology we use

  • Engineering
    • C++Languages
    • JavaLanguages
    • JavascriptLanguages
    • SqlLanguages
    • AccessDatabases
    • Microsoft SQL ServerDatabases
    • OracleDatabases

Location

We just moved into a larger, more modern space across from the bustling Woodfield Mall area in Schaumburg, accessible to plenty of bars & restaurants.

What are Paylocity Perks + Benefits

Paylocity Benefits Overview

Our commitment to hiring the best and brightest employees with a “talent anywhere” strategy means that no matter where you’re located around the country, you can be a part of our growing tech department

• Enjoy an attitude of trust to work remotely, manage your own schedule and be productive
• Work in small, cross-functional product-oriented teams
• Showcase development progress in two-week sprints with strong executive involvement
• Embrace the freedom to innovate, voice opinions and share new ideas

Culture
Volunteer in local community
Partners with Nonprofits
Friends outside of work
Eat lunch together
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Diversity
Highly diverse management team
Unconscious bias training
Someone's primary function is managing the company's diversity and inclusion initiatives
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Onsite Gym
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Company Equity
Employee Stock Purchase Plan
Performance Bonus
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Remote Work Program
We have a talent anywhere culture, where employees can work anywhere in the US and/or work from one of three US offices located in Illinois, Florida, and Idaho
Family Medical Leave
Adoption Assistance
Company sponsored family events
Acme co. sponsors family oriented events Annually.
Vacation & Time Off Benefits
Generous PTO
Paid Volunteer Time
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Game Room
Stocked Kitchen
Some Meals Provided
Happy Hours
Parking
Recreational Clubs
Fitness Subsidies
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement
Diversity Program
Lunch and learns
Acme Co. hosts lunch and learn meetings on occasion.
Cross functional training encouraged
Promote from within
Mentorship program
Our mentorship program includes 1-to-1 program, Cross-department program, Leadership mentoring.
Online course subscriptions available
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