Sr. Econometrician Research Consultant

Profile

Description

The Senior Econometrician Research Consultant performs observational causal inference analyses to guide business decisions.

Their assignments include the creation of econometric models based on a variety of data sources to both forecast key indicators and attribute those predictions to particular activities.

Their work frequently requires independent determination of the appropriate courses of action. They should therefore be well-versed in time series analysis and observational causal inference methodologies.

Responsibilities

Pharmacy Analytics and Consulting (PAC) is constantly innovating to enhance our members' experience and maximize our investments in new areas. Within the research consulting team, you will be involved in observational causal inference modeling using rigorous scientific standards of evaluation.

This involves working with our business partners as a consultant to provide visibility into the future and shape their investment decisions based on your findings. The role sits at the intersection of scientific rigor and practical application and will have a direct impact on the decisions that shape PAC over time.

In this role you will leverage your skills in econometrics and observational causal inference to guide critical business decisions. It is an opportunity to shine as you provide insights to our internal consulting partners using massive amounts of data engineered to answer critical business questions. The role is supported with dedicated data engineering resources and lives in a vibrant internal consultancy that works across many domains; meaning you will take on a variety of technically challenging questions. You will also engage in a culture of continuous learning, sometimes providing others knowledge based on your expertise and at other times learning new skills from other technical experts across the company.

Your key responsibilities will involve forecasting key indicators and then tying those predictions to activities and initiatives supported by our partners. The methods employed should be best suited to measure causal effects in the presence of unknowns. These might include IV, RDD, PSM, Natural Experiments, ARIMA models, etc. You should therefore be well-versed in advanced time series analysis and observational causal inference methodologies.

Required Qualifications


Experience with models such as IV, RDD, Diff in Diff, etc. and with Natural Experiments
Experience building advanced forecasting and time series models such as ARIMA, BSTS models, VAR, etc.
Master's degree in statistics, economics, or other relevant discipline or 3 or more years of relevant technical experience
Has engineered models from large and complex data sources crossing multiple systems
Minimum 3 years coding in a statistical language such as R or Python
Minimum 1 year of coding in SQL


Preferred Qualifications


PhD in statistics, economics, or other relevant discipline
5 years of experience with econometrics and observational causal inference
Knowledge of Bayesian statistics
Familiarity with Tidyverse, SAS, oir PySpark


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Interview Format:

As part of our hiring process for this opportunity, we will be using an exciting interviewing technology called Modern Hire to enhance our hiring and decision-making ability. Modern Hire allows us to quickly connect and gain valuable information for you pertaining to your relevant skills and experience at a time that is best for your schedule.

If you are selected, you will receive correspondence inviting you to participate in a Modern Hire assessment. You will have a set of questions and you will provide responses to each question. You should anticipate this to take about 15 - 20 minutes. Your answers will be reviewed and you will subsequently be informed if you will be moving forward to next round.

Alert: Humana values personal identity protection. Please be aware that applicants selected for leader review may be asked to provide a social security number, if it is not already on file. When required, an email will be sent from **** with instructions to add the information into the application at Humana's secure website.

Scheduled Weekly Hours

40

Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our ****

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