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People Analytics Data Scientist

People Analytics Data Scientist

Job Title: People Analytics Data Scientist
Contract Type: Permanent
Location: Jersey City
Industry:
Salary: US$110000.00 - US$160000.00 per annum
Reference: HQ00061661_1504636576
Contact Name: Matt Behar
Contact Email: m.behar@lawrenceharvey.com
Job Published: September 05, 2017 19:36

Job Description

People Analytics Data Scientist -$110-160k + Bonus + Benefits
HCM Technology
Location: US-Exchange Place, Jersey City

I have an exciting opportunity for Data Scientist to work for a top tier Bank within Human Capital Management providing people analytics. The role will require the individual to leverage his/her advanced skills in machine learning, statistics and programming to help HCM functions leverage data to make better people decisions

Overview:

Our team of engineers builds solutions to the most complex problems. We develop cutting-edge systems and processes that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and crunch billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field.

YOUR IMPACT
Are you looking for an opportunity in the field of People Analytics applying machine learning and data science to help advance people strategy?

We are offering an Analyst/Associate role in People Analytics, which is responsible for re-inventing HCM's operational strategy, expanding and optimizing the division's analytical capabilities and re-engineering processes across the division. The role will provide the individual the opportunity to work on cross-HCM projects in close partnership with functional, divisional and regional teams throughout HCM and Technology divisions. We offer a fast-paced, dynamic, team-oriented environment to help drive the future of HCM.

OUR IMPACT
The Technology Division: Our team of engineers builds solutions to the most complex problems. We develop cutting-edge systems and processes that form the core of our key business and enable transactions to move in milliseconds. We provide real-time access to critical deal information and crunch billions of data points each day to inform firm-wide market insights and strategies. Team members have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field.
The Team: People Analytics is a multi-disciplinary, global team comprised of individuals with backgrounds in computer science, machine learning, statistics and I/O psychology. We work closely with our business partners in the Human Capital Management division to help drive data-driven, evidence-based decision making. We use a wide variety of tools to help drive our analysis and work on highly commercial, influential projects that impact everyone at the firm.
Responsibilities:
Job Summary & Responsibilities
You will develop and leverage various machine learning, data mining, statistical techniques and algorithms to create solutions for different HCM functions.
You will work with key stakeholders within HCM to analyze data, evaluate trends and provide strategic advice
You will play a key role in designing, executing and measuring the effectiveness of global HCM programs, which will include identifying issues, forming hypotheses and synthesizing conclusions into recommendations
You will communicate findings and recommendations on critical initiatives and influence leaders to take action on those findings
You will design, develop and maintain software that extends SecDB (Proprietary platform for analytics, trading and risk management) to People Analytics
You will partner with various technology teams to build the infrastructure required to collect data from multiple internal and external sources
You will identify gaps in data quality and work with system administrators to correct the data at the source.
Basic Qualifications
Strong academic background in a relevant field - Computer Science, Engineering, Physics or Mathematics/Statistics
Comprehensive coding expertise in developing algorithmically complex C/C++/ Java/Python applications and experience working with relational databases, SQL
Background in statistical computing systems like R, MATLAB, SAS, etc.
Experience with business intelligence frameworks like Tableau, Alteryx or Business Objects
Expertise in the designing high quality end-to-end scalable production level systems
Excellent analytical skills - ability to organize and analyze large datasets, detect and correct errors, interpret and report results to various audiences and take responsibility for data quality assurance
Highest attention to detail and ability to handle sensitive and confidential information with the utmost discretion and care
Strong analytical and problem solving skills with an inquisitive disposition
Preferred Qualifications
Excellent interpersonal and communication skills, both written and verbal
Results-oriented -- ability to handle multiple, time-sensitive projects while focusing on the quality of work delivered
Ability to work well both independently and on a team in a deadline driven environment


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