Company
Doctors Without Borders/Médecins Sans Frontières (MSF) is an international humanitarian organization that delivers impartial medical care to people affected by conflict, epidemics, disasters, or exclusion from health care in over 70 countries.
We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s common mission.
Department
The Field Human Resources Department (Field HR) is responsible for recruitment, selection, placement, and retainment of qualified and well-suited field staff to meet the growing needs of MSF field operations.
Project
The People Analytics team aims to strengthen the analytical capabilities of Human Resources (HR) across MSF so that HR planning is more strategic, data-driven and evidence-based. Working across the movement, with internal and external stakeholders, we aim to ensure that data is being used effectively to help the organization answer key HR questions and deliver strategic value. The team is responsible for defining and driving the strategic path for People Analytics across the movement by engaging and coordinating with concurrent HR analytics efforts internally and the People Analytics community externally.
Under the direction of the Head of People Analytics, the Data Scientist will help identify opportunities for data-driven solutioning in HR and will be the focal point for all technical aspects of the team’s work. You will help us discover the information hidden in the vast amounts of data available to us, and help us make evidence-based decisions about our workforce and our HR activities. You will help us explore how statistical modeling, predictive algorithms and future-state simulation can aid in strategic workforce planning. Your primary focus will be in applying data mining techniques, doing statistical analysis, building predictive models and developing data tools to integrate into our existing business intelligence systems. This is a unique and exciting opportunity for a Data Scientist to use their skills for social good while tackling fascinating questions about strategic workforce planning, talent and people decisions in the NGO/humanitarian sector. The ideal candidate is passionate about Data Science and how it can be used to positively influence organizations.
Tasks
Job Functions and Responsibilities
Perform data manipulation, wrangling, cleansing and analysis (in Python and/or R);
Build, iterate and validate predictive models using multiple statistical techniques;
Transform and clean large, messy and often distributed datasets by using data cleaning tools/methods to improve data quality by removing unwanted observations, fixing structural errors, investigating outliers, manage missing data (dropping, imputing, etc.), scrubbing for duplicate data and validating the accuracy of data;
Play a key role in developing a data infrastructure;
Provide support to the People Analytics team by helping interpret, understand and extract value and meaning out of MSF’s HR data;
Continuously learn and share knowledge about new ways to mine data and distill meaning out of the increasing amount of data available to us;
Provide insight on how to turn data insights into concrete measurable actions;
Take ownership of data models and solutions by communicating and advocating their use to the Head of People Analytics;
When feasible, apply AI, future-state simulation, machine learning, deep learning, neural networks to MSF’s HR data;
Collaborate closely with the People Analytics Team and play an advisory role to/pair with the Data Science Intern(s).
Travel
The role will not include travel, however collaboration with teams across the MSF movement globally may be required.
Basic Qualifications
Minimum 2-3 years’ proven professional experience as a Data Scientist/Statistician or similar quantitative role using large, complex datasets and building models to address real organizational challenges and inform business decisions;
A Master’s or Ph.D. in a relevant subject (e.g., Statistics, Data Science, Computational Mathematics, Quantitative Social Science, etc.);
Must have expert skills and knowledge in R and Python;
Experience with other general-purpose programming language like Java is a plus;
Strong skills in applied statistics skills using a variety of techniques to extract insights from data;
Proficiency in relational and non-relational databases including SQL;
Expert skills in MS Excel;
Familiarity with BI tools (i.e. PowerBI ( preferred) , Qlik, Tableau);
Experience in data mining;
Experience in data wrangling/cleansing;
Familiarity with Natural Language Processing;
Familiarity with machine learning, deep learning, neural networks and data engineering;
Superior attention to detail;
Excellent communication and data visualization skills;
Passion for data and its use in driving organizational change;
Ability to adapt to a rapidly growing and scaling work environment;
Strong work ethic, intellectual curiosity, and positive attitude;
A willingness to perform other tasks as assigned.
Preferred Qualifications
Analytics experience in the HR, non-profit, humanitarian or global health field;
An interest or background in HR Analytics, Strategic Workforce Planning or People Analytics;
Experience with deploying data tools for non-technical end users;
Experience with People Data such as compensation, attrition/retention, and leadership pipeline development;
Experience working on a global team.
Type
HQ
Pay Class
Full Time Exempt
Contract Type
Fixed Term Contract (12 Month Contract)
Additional Information
Starting salary high 80s to low 90s (commensurate with experience);
Relocation assistance and visa sponsorship will be offered for this position.
Desired Hiring Date
ASAP
Working Time %
100,00
How to Apply
Click the Apply Now button on this page to send letter of interest/cover letter and resume.
ATTN: “ Data Scientist” position. No phone calls please. Applications without a cover letter (1-page maximum) will not be reviewed.
Application Deadline: August 30, 2019
*Applications will be reviewed, and interviews held, on a rolling basis. Interested applicants are strongly encouraged to send their application materials as soon as possible.
Jul 31, 2019
Full-time
Company
Doctors Without Borders/Médecins Sans Frontières (MSF) is an international humanitarian organization that delivers impartial medical care to people affected by conflict, epidemics, disasters, or exclusion from health care in over 70 countries.
We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s common mission.
Department
The Field Human Resources Department (Field HR) is responsible for recruitment, selection, placement, and retainment of qualified and well-suited field staff to meet the growing needs of MSF field operations.
Project
The People Analytics team aims to strengthen the analytical capabilities of Human Resources (HR) across MSF so that HR planning is more strategic, data-driven and evidence-based. Working across the movement, with internal and external stakeholders, we aim to ensure that data is being used effectively to help the organization answer key HR questions and deliver strategic value. The team is responsible for defining and driving the strategic path for People Analytics across the movement by engaging and coordinating with concurrent HR analytics efforts internally and the People Analytics community externally.
Under the direction of the Head of People Analytics, the Data Scientist will help identify opportunities for data-driven solutioning in HR and will be the focal point for all technical aspects of the team’s work. You will help us discover the information hidden in the vast amounts of data available to us, and help us make evidence-based decisions about our workforce and our HR activities. You will help us explore how statistical modeling, predictive algorithms and future-state simulation can aid in strategic workforce planning. Your primary focus will be in applying data mining techniques, doing statistical analysis, building predictive models and developing data tools to integrate into our existing business intelligence systems. This is a unique and exciting opportunity for a Data Scientist to use their skills for social good while tackling fascinating questions about strategic workforce planning, talent and people decisions in the NGO/humanitarian sector. The ideal candidate is passionate about Data Science and how it can be used to positively influence organizations.
Tasks
Job Functions and Responsibilities
Perform data manipulation, wrangling, cleansing and analysis (in Python and/or R);
Build, iterate and validate predictive models using multiple statistical techniques;
Transform and clean large, messy and often distributed datasets by using data cleaning tools/methods to improve data quality by removing unwanted observations, fixing structural errors, investigating outliers, manage missing data (dropping, imputing, etc.), scrubbing for duplicate data and validating the accuracy of data;
Play a key role in developing a data infrastructure;
Provide support to the People Analytics team by helping interpret, understand and extract value and meaning out of MSF’s HR data;
Continuously learn and share knowledge about new ways to mine data and distill meaning out of the increasing amount of data available to us;
Provide insight on how to turn data insights into concrete measurable actions;
Take ownership of data models and solutions by communicating and advocating their use to the Head of People Analytics;
When feasible, apply AI, future-state simulation, machine learning, deep learning, neural networks to MSF’s HR data;
Collaborate closely with the People Analytics Team and play an advisory role to/pair with the Data Science Intern(s).
Travel
The role will not include travel, however collaboration with teams across the MSF movement globally may be required.
Basic Qualifications
Minimum 2-3 years’ proven professional experience as a Data Scientist/Statistician or similar quantitative role using large, complex datasets and building models to address real organizational challenges and inform business decisions;
A Master’s or Ph.D. in a relevant subject (e.g., Statistics, Data Science, Computational Mathematics, Quantitative Social Science, etc.);
Must have expert skills and knowledge in R and Python;
Experience with other general-purpose programming language like Java is a plus;
Strong skills in applied statistics skills using a variety of techniques to extract insights from data;
Proficiency in relational and non-relational databases including SQL;
Expert skills in MS Excel;
Familiarity with BI tools (i.e. PowerBI ( preferred) , Qlik, Tableau);
Experience in data mining;
Experience in data wrangling/cleansing;
Familiarity with Natural Language Processing;
Familiarity with machine learning, deep learning, neural networks and data engineering;
Superior attention to detail;
Excellent communication and data visualization skills;
Passion for data and its use in driving organizational change;
Ability to adapt to a rapidly growing and scaling work environment;
Strong work ethic, intellectual curiosity, and positive attitude;
A willingness to perform other tasks as assigned.
Preferred Qualifications
Analytics experience in the HR, non-profit, humanitarian or global health field;
An interest or background in HR Analytics, Strategic Workforce Planning or People Analytics;
Experience with deploying data tools for non-technical end users;
Experience with People Data such as compensation, attrition/retention, and leadership pipeline development;
Experience working on a global team.
Type
HQ
Pay Class
Full Time Exempt
Contract Type
Fixed Term Contract (12 Month Contract)
Additional Information
Starting salary high 80s to low 90s (commensurate with experience);
Relocation assistance and visa sponsorship will be offered for this position.
Desired Hiring Date
ASAP
Working Time %
100,00
How to Apply
Click the Apply Now button on this page to send letter of interest/cover letter and resume.
ATTN: “ Data Scientist” position. No phone calls please. Applications without a cover letter (1-page maximum) will not be reviewed.
Application Deadline: August 30, 2019
*Applications will be reviewed, and interviews held, on a rolling basis. Interested applicants are strongly encouraged to send their application materials as soon as possible.
Decision Science Data Integration Intern, Spring 2020 - Orlando, FL We Are… The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. Responsibilities :
A Day in the Life... This position will be responsible for partnering with MSI, Science and Technology team members in various activities around data requirements gathering, data validation scripting and review, producing data aggregation datasets for our Science Models utilizing SQL/Python/Spark, building and monitoring daily batch update processes, and ad-hoc activities required by the project. Basic Qualifications :
What You Bring to the Role...
Creative problem solving & analytical skills
Experience collecting & analyzing data and reporting on the results
Experience using Python and SQL with a strong desire to quickly strengthen and apply those skills
Excellent oral/written communication skills
Demonstrated proficiency in Microsoft Excel
Interest in pursuing an analytical career path
Preferred Qualifications:
Experience with PySpark, SparkSQL, and HDFS/Hive
Knowledge of GitHub/GitLab for source control
Required Education :
Junior or higher working towards (or recently graduated with) a Bachelor’s degree in Computer Science, Analytics, Mathematics, Statistics, Engineering or other related quantitative field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Aug 20, 2019
Internship
Decision Science Data Integration Intern, Spring 2020 - Orlando, FL We Are… The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders. Responsibilities :
A Day in the Life... This position will be responsible for partnering with MSI, Science and Technology team members in various activities around data requirements gathering, data validation scripting and review, producing data aggregation datasets for our Science Models utilizing SQL/Python/Spark, building and monitoring daily batch update processes, and ad-hoc activities required by the project. Basic Qualifications :
What You Bring to the Role...
Creative problem solving & analytical skills
Experience collecting & analyzing data and reporting on the results
Experience using Python and SQL with a strong desire to quickly strengthen and apply those skills
Excellent oral/written communication skills
Demonstrated proficiency in Microsoft Excel
Interest in pursuing an analytical career path
Preferred Qualifications:
Experience with PySpark, SparkSQL, and HDFS/Hive
Knowledge of GitHub/GitLab for source control
Required Education :
Junior or higher working towards (or recently graduated with) a Bachelor’s degree in Computer Science, Analytics, Mathematics, Statistics, Engineering or other related quantitative field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available from January 2020 through June2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders.
We Are:
The Decision Science team creates innovative scientific models and data-driven decision support tools that are used by business units across The Walt Disney Company to make better business decisions. From establishing appropriate science methodologies to implementing continuous innovation, the Decision Science team is instrumental in determining the success of our entire global enterprise.
Responsibilities :
Make an impact by building operations research and statistical models for various revenue management and pricing systems. The interns help in this process by:
Modeling and analyzing revenue management, pricing, marketing, and other business analytics applications using various mathematical, statistical, and simulation techniques
Supporting the analysis and validation of forecasting and optimization models
Performing data collection, data cleaning, data validation, and reporting tasks for various business analytics systems and applications
Basic Qualifications :
What You Bring to the Role:
Strategic problem solving & analytical skills
Experience with statistical modeling software (e.g. R, Python, SAS) or experience with mathematical programming software (e.g. CPLEX, Gurobi, Xpress, Google OR, COIN-OR, SAS/OR)
Proficient in at least one of the following programming languages: R, Python, SAS, Java, Julia, C++, Matlab
Strong organizational and time management skills with attention to detail
Aptitude and willingness to learn new science, software applications, and tools
Experience gathering, analyzing, and interpreting data and reporting on the results
Proficiency with Excel, Word and PowerPoint
Preferred Qualifications:
Familiarity with SQL or Tableau
Experience using machine learning algorithms
Proficiency with statistical methods such as linear regression, generalized linear models, and hierarchical/mixed models
A working knowledge of deterministic optimization (e.g., linear programming, integer programming, mixed integer programming), or other optimization (nonlinear programming, dynamic programming, etc.)
Experience and expertise of using mathematical programming software and/or developing algorithms for large scale optimization problems
Proficiency with forecasting methodologies
Proficiency with Bayesian statistics
Proficiency with discrete event simulation
Prior research or industrial experience in revenue management, pricing, and/or supply chain applications
Proficiency with neural networks and/or deep learning
Proficiency with text mining methods, such as natural language processing, sentiment analysis, and topic modeling
Required Education :
Graduate Level student or recently graduated from a Graduate program (within 6 months of graduating) pursuing a Master's Degree or PhD in Statistics, Operations Research, Industrial Engineering, Math, Economics, or related field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available, full-time, 40 hours per week, from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
Aug 13, 2019
Full-time
The Disney Decision Science and Integration (DDSI) team supports clients across The Walt Disney Company, including Disney Parks, Experiences and Consumer Products, Disney Cruise Line, Media Networks (i.e. ABC, ESPN), Studio Entertainment, Disney Theatrical Group (e.g., Broadway shows), and Disney Interactive Media in the core competencies of yield management, revenue planning, forecasting, pricing, and optimization. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. Roles within DDSI develop, analyze, and execute strategies to maximize profitability and improve the value proposition for our Guests, Cast Members, and Shareholders.
We Are:
The Decision Science team creates innovative scientific models and data-driven decision support tools that are used by business units across The Walt Disney Company to make better business decisions. From establishing appropriate science methodologies to implementing continuous innovation, the Decision Science team is instrumental in determining the success of our entire global enterprise.
Responsibilities :
Make an impact by building operations research and statistical models for various revenue management and pricing systems. The interns help in this process by:
Modeling and analyzing revenue management, pricing, marketing, and other business analytics applications using various mathematical, statistical, and simulation techniques
Supporting the analysis and validation of forecasting and optimization models
Performing data collection, data cleaning, data validation, and reporting tasks for various business analytics systems and applications
Basic Qualifications :
What You Bring to the Role:
Strategic problem solving & analytical skills
Experience with statistical modeling software (e.g. R, Python, SAS) or experience with mathematical programming software (e.g. CPLEX, Gurobi, Xpress, Google OR, COIN-OR, SAS/OR)
Proficient in at least one of the following programming languages: R, Python, SAS, Java, Julia, C++, Matlab
Strong organizational and time management skills with attention to detail
Aptitude and willingness to learn new science, software applications, and tools
Experience gathering, analyzing, and interpreting data and reporting on the results
Proficiency with Excel, Word and PowerPoint
Preferred Qualifications:
Familiarity with SQL or Tableau
Experience using machine learning algorithms
Proficiency with statistical methods such as linear regression, generalized linear models, and hierarchical/mixed models
A working knowledge of deterministic optimization (e.g., linear programming, integer programming, mixed integer programming), or other optimization (nonlinear programming, dynamic programming, etc.)
Experience and expertise of using mathematical programming software and/or developing algorithms for large scale optimization problems
Proficiency with forecasting methodologies
Proficiency with Bayesian statistics
Proficiency with discrete event simulation
Prior research or industrial experience in revenue management, pricing, and/or supply chain applications
Proficiency with neural networks and/or deep learning
Proficiency with text mining methods, such as natural language processing, sentiment analysis, and topic modeling
Required Education :
Graduate Level student or recently graduated from a Graduate program (within 6 months of graduating) pursuing a Master's Degree or PhD in Statistics, Operations Research, Industrial Engineering, Math, Economics, or related field
GPA of 3.0 or higher
Additional Information :
Must be enrolled in a college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within the past six (6) months OR currently participating in a Disney College Program or Disney Professional Internship
Must be at least 18 years of age
Must not have completed one year of continual employment on a Disney internship or program.
Must possess unrestricted work authorization
Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months)
Program Dates: Interns must be fully available, full-time, 40 hours per week, from January 2020 through June 2020.
Required Materials: Resume and transcripts must be uploaded at time of online application.
Transportation: Interns must have reliable transportation to get to and from work for the duration of their internship program .
Housing: A limited number of housing is available for Florida based participants. Interns are able to sign up for housing once they have accepted an internship offer.
A team of high performing problem-solvers, and subject matter experts that solve complex Talent, Human Capital, and HR issues using proven scientific and mathematical techniques and communicate in ways which resonate with clients to support business decisions.
Responsibilities :
Consult with clients across the organization, translating high-level business objectives into analytical solutions that provide clear and actionable insights
Conduct analysis connecting behavioral analytics with labor economics to identify key insights and drivers to employee behavior
Construct complex data sets and measures to be used in analyses that drive business decisions
Develop sustainable statistical algorithms and machine learning processes that support HR business processes, tools, models, or products
Work collaboratively with team members to develop analytical solutions which support cross-functional needs
Develop and deliver model/forecast outputs to be leveraged by key partners, clients, and internal reporting Proactively identify analytical opportunities to solve key business issues or strategies
Synthesize analytical output and findings for storytelling and decision making
You have deep technical knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail
You are an abstract thinker with the ability to solve complex problems in creative, sustainable ways
You have proven experience dealing in labor economics or behavioral analytics
You have strong critical thinking skills and ask relevant questions to improve processes and build efficiencies
You possess the talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities
You can focus on the here and now while keeping a keen eye to the future and the organizational capability to prioritize work
You have the exceptional ability to make timely and effective decisions to meet fluid deadlines
You are proactive and self-motivated with the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends
You can effectively handle and maintain confidential information
You are adaptable and have high level of comfort with change and ambiguity
Basic Qualifications :
4 years at an analyst level in a data-oriented role dealing in statistics or analytics. Deep knowledge of analytical tools and processes & data infrastructures
Preferred Qualifications:
Decision Science or Workforce Planning.
Required Education :
4 year degree in Organization Psychology, Mathematics, Statistics, Economics or a related field.
Preferred Education :
Advanced Degree (Masters or above) in an Organization Psychology, Mathematics, and Statistics, Economics or a related field.
Aug 09, 2019
Full-time
A team of high performing problem-solvers, and subject matter experts that solve complex Talent, Human Capital, and HR issues using proven scientific and mathematical techniques and communicate in ways which resonate with clients to support business decisions.
Responsibilities :
Consult with clients across the organization, translating high-level business objectives into analytical solutions that provide clear and actionable insights
Conduct analysis connecting behavioral analytics with labor economics to identify key insights and drivers to employee behavior
Construct complex data sets and measures to be used in analyses that drive business decisions
Develop sustainable statistical algorithms and machine learning processes that support HR business processes, tools, models, or products
Work collaboratively with team members to develop analytical solutions which support cross-functional needs
Develop and deliver model/forecast outputs to be leveraged by key partners, clients, and internal reporting Proactively identify analytical opportunities to solve key business issues or strategies
Synthesize analytical output and findings for storytelling and decision making
You have deep technical knowledge and experience in conducting complex analysis using multiple data sources and a passion for attention to detail
You are an abstract thinker with the ability to solve complex problems in creative, sustainable ways
You have proven experience dealing in labor economics or behavioral analytics
You have strong critical thinking skills and ask relevant questions to improve processes and build efficiencies
You possess the talent for strong influencing and networking skills to help build and foster existing consultative relationships that drive synergy and partnership opportunities
You can focus on the here and now while keeping a keen eye to the future and the organizational capability to prioritize work
You have the exceptional ability to make timely and effective decisions to meet fluid deadlines
You are proactive and self-motivated with the capability to work autonomously and make independent decisions to meet deliverables with minimal oversight
You are passionate about continuous improvement with a strong desire to continue learning in order to stay relevant to business changes and industry trends
You can effectively handle and maintain confidential information
You are adaptable and have high level of comfort with change and ambiguity
Basic Qualifications :
4 years at an analyst level in a data-oriented role dealing in statistics or analytics. Deep knowledge of analytical tools and processes & data infrastructures
Preferred Qualifications:
Decision Science or Workforce Planning.
Required Education :
4 year degree in Organization Psychology, Mathematics, Statistics, Economics or a related field.
Preferred Education :
Advanced Degree (Masters or above) in an Organization Psychology, Mathematics, and Statistics, Economics or a related field.
