Job Description

COMPANY OVERVIEW: 

Parabolic is a career coaching and headhunting agency that helps with the recruitment process for both businesses and applicants. We focus on the tech, finance, and consulting industries. Here is what is included in Parabolic’s career coaching service. 

PLEASE NOTE WE ARE NOT HIRING ON BEHALF OF PARABOLIC, BUT WE ARE A THIRD-PARTY STAFFING AGENCY AND CAREER COACHING COMPANY WHO CAN HELP YOU FIND HIGH-PAYING JOBS OPPORTUNITIES AS DESCRIBED BELOW.

• Coaching sessions with a full-time investment banker, consultant, or engineer 

• Resume and cover letter reviews that pass through the ATS system. 

• Access to our entire database of resources that includes over 200 application links, deadlines, email templates, and interview prep materials.

• Your resume is shared each week with our employer partners which include dozens of companies in the tech, finance, consultant, and startup space.

WE OFFER A JOB GUARANTEE WHERE WE GIVE YOU A 100% REFUND IN THE UNLIKELY EVENT YOU DO NOT OBTAIN A JOB OFFER WITHIN 12 MONTHS OF WORKING WITH US. 

For our career-coaching business, we help our clients secure highly competitive internships and full time jobs in the finance, consulting, and technology industries. Having placed 90%+ of our clients in top end jobs with average compensation of over $150,000, Parabolic has achieved unrivaled success in the recruitment consulting space by developing a proactive, end-to-end service that ensures our clients succeed. 

For our staffing and retained search business, we provide companies with hiring solutions to staff top talent quickly. We also have great diversity and inclusion capabilities.

Please book a time on this calendar and fill out this 1-minute survey so we can better serve you.

CALENDAR: HTTPS://CALENDLY.COM/ARI-SHUSTERMAN

SURVEY: HTTPS://1ZJPHT8WVA1.TYPEFORM.COM/TO/TGHY74YG?TYPEFORM-SOURCE=WWW.GOOGLE.COM

LEARN MORE ABOUT PARABOLIC AT HTTPS://PARABOLICUSA.COM/.

Full-time position

Data scientists utilize their analytical, statistical, and programming skills to collect, analyze, and interpret large data sets. They use the information they found to develop data-driven solutions to difficult business challenges. Data scientists have a wide range of technical competencies including: statistics and machine learning, coding languages, databases, machine learning, and reporting technologies.

RESPONSIBILITIES

• Use machine learning tools and statistical techniques to produce solutions to problems.

• Analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.

• Assess the effectiveness and accuracy of new data sources and data gathering techniques.

• Develop custom data models and algorithms to apply to data sets.

• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.

• Coordinate with different functional teams to implement models and monitor outcomes.

• Develop processes and tools to monitor and analyze model performance and data accuracy.

QUALIFICATIONS 

• Strong problem solving skills with an emphasis on product development.

• Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.

• Experience working with and creating data architectures.

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.).

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

• Excellent written and verbal communication skills for coordinating across teams.

• A drive to learn and master new technologies and techniques.

• Master’s or PHD in Statistics, Mathematics, Computer Science, or another quantitative field preferred. 

• Coding knowledge and experience with several languages: C, Java, JavaScript, etc.

• Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.

• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

Company Description

Parabolic is a career coaching and headhunting agency that helps with the recruitment process for both businesses and applicants. We focus on the tech, finance, and consulting industries. However, there are many other industries that we can help recruit for.