SoFi
Employee Applicant Privacy Notice
Who we are:
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way.
Join us to invest in yourself, your career, and the financial world.
The role
The People Analytics team is moving beyond descriptive dashboards to deliver predictive and advanced analytical capabilities that drive talent and business outcomes. As a Staff People Data Scientist, you will design, build, and productionize models and analyses (e.g. attrition risk, headcount forecasts, mobility, quality of hire and etc) that inform decisions across the employee lifecycle. You’ll be a hands‑on builder and thought partner to People Analysts, COEs (e.g., Talent Management, Total Rewards, TA), and cross‑functional stakeholders in Legal/Privacy, Security, Finance, Product, and Engineering.
Bonus: Experience with AI (e.g., LLMs, NLP) is a plus and may be used to bring analyses to life via simple apps or assistants when it meaningfully improves access and adoption.
How This Role Elevates the People Team (and Company)
This role unlocks deeper, predictive insights into employee behavior and program effectiveness, enabling better talent decisions, more equitable processes, and measurable business impact (e.g., reduced turnover cost, improved hiring efficiency, better workforce allocation). Where appropriate, we will scale insights through lightweight, user‑friendly tools (potentially AI‑assisted) that meet users where they are.
What you’ll do:
Build predictive capabilities across the employee lifecycle
Develop, validate, and productionize models for
attrition risk, internal mobility, recruiting funnel yield, quality of hire, performance and success trajectories, engagement drivers , and
workforce/headcount forecasting .
Stand up evaluation, calibration,
monitoring , and
drift detection ; own the model lifecycle from design through deployment and iteration.
Apply advanced analytical methods to business questions
Design and implement
segmentation, decision trees, survival/time‑to‑event, time series, hypothesis testing, uplift modeling, and anomaly detection
to surface drivers and shape recommendations.
When useful, apply
NLP
to survey and case text to connect
attitudinal
and
behavioral
data.
Translate complex analyses into clear narratives, visuals, and recommendations for executives and frontline stakeholders; create enablement that moves decisions and outcomes.
Advance the function
Partner with Analysts/COEs to design
A/B and quasi‑experimental
evaluations of People programs (e.g., onboarding, recognition, manager training) and translate results into clear actions.
Serve as a technical subject‑matter expert,
mentoring analysts
on statistical methods, ML best practices, experimentation, and code quality.
Bonus (optional):
Package insights as internal tools (e.g., simple APIs, Streamlit apps, Tableau extensions) including
AI‑assisted features
where they add clear value.
Data foundations and operations
Partner with People Data Engineering to define features and
governed datasets in Snowflake
Navigate the compliance and regulatory requirements for proper model and AI use across the People Team.
Embed
privacy‑by‑design
and fairness checks (bias detection/mitigation, explain ability); align with Legal/Privacy and Security on data governance and appropriate use.
What you’ll need:
Education:
Bachelor’s in Computer Science, Statistics, Economics, Engineering, Data Science, or a quantitative field ( Master’s preferred ).
Experience:
7+ years
in applied data science/ML (ideally in People Analytics, Talent, or adjacent domains) with a track record of
shipping models/analyses that change decisions .
Technical depth:
Strong ability to leverage a
dimensional data model
in Snowflake to build datasets for advanced analytics.
Python
(pandas, scikit‑learn, statsmodels),
SQL , and
Tableau
for analytics & visualization or similar tools.
Deep expertise in statistics and data science methods (e.g.,
linear/logistic regression, causal inference, A/B testing, matching methods, survival/time series ).
Business influence:
Ability to scope ambiguous problems, balance speed and rigor, and communicate clearly with technical and non‑technical partners; strong, proactive ownership.
Nice to have:
People‑data fluency:
Experience with
HRIS/ATS/survey
sources (e.g., Workday, Greenhouse, Qualtrics/Glint), text analytics on engagement/case data, and KPI design (e.g.,
quality of hire, time‑to‑fill, internal mobility ).
Background in
I/O Psychology
or
psychometrics ; experience with
pay equity , fairness metrics, and/or
differential privacy .
Building internal tools with
Streamlit
or lightweight web frameworks;
AWS
data/ML services.
Experience mapping people outcomes to
financial impact
(productivity, efficiency, turnover cost).
Experience with
Snowflake ,
dbt ,
Airflow ,
Git , and model monitoring in production.
AI/LLM
experience (prompting, RAG, safety guardrails) to enhance discoverability and access to insights.
Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. To view all of our comprehensiveand competitivebenefits, visit our
Benefits at SoFi
page. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
#J-18808-Ljbffr
Shape a brighter financial future with us.
Together with our members, we’re changing the way people think about and interact with personal finance.
We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way.
Join us to invest in yourself, your career, and the financial world.
The role
The People Analytics team is moving beyond descriptive dashboards to deliver predictive and advanced analytical capabilities that drive talent and business outcomes. As a Staff People Data Scientist, you will design, build, and productionize models and analyses (e.g. attrition risk, headcount forecasts, mobility, quality of hire and etc) that inform decisions across the employee lifecycle. You’ll be a hands‑on builder and thought partner to People Analysts, COEs (e.g., Talent Management, Total Rewards, TA), and cross‑functional stakeholders in Legal/Privacy, Security, Finance, Product, and Engineering.
Bonus: Experience with AI (e.g., LLMs, NLP) is a plus and may be used to bring analyses to life via simple apps or assistants when it meaningfully improves access and adoption.
How This Role Elevates the People Team (and Company)
This role unlocks deeper, predictive insights into employee behavior and program effectiveness, enabling better talent decisions, more equitable processes, and measurable business impact (e.g., reduced turnover cost, improved hiring efficiency, better workforce allocation). Where appropriate, we will scale insights through lightweight, user‑friendly tools (potentially AI‑assisted) that meet users where they are.
What you’ll do:
Build predictive capabilities across the employee lifecycle
Develop, validate, and productionize models for
attrition risk, internal mobility, recruiting funnel yield, quality of hire, performance and success trajectories, engagement drivers , and
workforce/headcount forecasting .
Stand up evaluation, calibration,
monitoring , and
drift detection ; own the model lifecycle from design through deployment and iteration.
Apply advanced analytical methods to business questions
Design and implement
segmentation, decision trees, survival/time‑to‑event, time series, hypothesis testing, uplift modeling, and anomaly detection
to surface drivers and shape recommendations.
When useful, apply
NLP
to survey and case text to connect
attitudinal
and
behavioral
data.
Translate complex analyses into clear narratives, visuals, and recommendations for executives and frontline stakeholders; create enablement that moves decisions and outcomes.
Advance the function
Partner with Analysts/COEs to design
A/B and quasi‑experimental
evaluations of People programs (e.g., onboarding, recognition, manager training) and translate results into clear actions.
Serve as a technical subject‑matter expert,
mentoring analysts
on statistical methods, ML best practices, experimentation, and code quality.
Bonus (optional):
Package insights as internal tools (e.g., simple APIs, Streamlit apps, Tableau extensions) including
AI‑assisted features
where they add clear value.
Data foundations and operations
Partner with People Data Engineering to define features and
governed datasets in Snowflake
Navigate the compliance and regulatory requirements for proper model and AI use across the People Team.
Embed
privacy‑by‑design
and fairness checks (bias detection/mitigation, explain ability); align with Legal/Privacy and Security on data governance and appropriate use.
What you’ll need:
Education:
Bachelor’s in Computer Science, Statistics, Economics, Engineering, Data Science, or a quantitative field ( Master’s preferred ).
Experience:
7+ years
in applied data science/ML (ideally in People Analytics, Talent, or adjacent domains) with a track record of
shipping models/analyses that change decisions .
Technical depth:
Strong ability to leverage a
dimensional data model
in Snowflake to build datasets for advanced analytics.
Python
(pandas, scikit‑learn, statsmodels),
SQL , and
Tableau
for analytics & visualization or similar tools.
Deep expertise in statistics and data science methods (e.g.,
linear/logistic regression, causal inference, A/B testing, matching methods, survival/time series ).
Business influence:
Ability to scope ambiguous problems, balance speed and rigor, and communicate clearly with technical and non‑technical partners; strong, proactive ownership.
Nice to have:
People‑data fluency:
Experience with
HRIS/ATS/survey
sources (e.g., Workday, Greenhouse, Qualtrics/Glint), text analytics on engagement/case data, and KPI design (e.g.,
quality of hire, time‑to‑fill, internal mobility ).
Background in
I/O Psychology
or
psychometrics ; experience with
pay equity , fairness metrics, and/or
differential privacy .
Building internal tools with
Streamlit
or lightweight web frameworks;
AWS
data/ML services.
Experience mapping people outcomes to
financial impact
(productivity, efficiency, turnover cost).
Experience with
Snowflake ,
dbt ,
Airflow ,
Git , and model monitoring in production.
AI/LLM
experience (prompting, RAG, safety guardrails) to enhance discoverability and access to insights.
Compensation and Benefits
The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. To view all of our comprehensiveand competitivebenefits, visit our
Benefits at SoFi
page. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
Internal Employees
If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
#J-18808-Ljbffr