Data Scientist (Product)
KalshiSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, HR TechIndustries
Requirements
- Minimum Qualifications:
- Bachelor's degree in a quantitative field such as Mathematics, Computer Science, Operations Research, Economics, or equivalent experience
- 3+ years of experience in product analytics, business operations, analytics, growth marketing, or product
- Proficient with A/B testing, experimental design, and utilizing statistical modeling and causal inference to inform business decisions
- Proficient in statistical computing and scripting languages such as Python (numpy/pandas/matplotlib), R, and SQL
- Structured analytical approach to problem-solving, with the ability to turn complex problems into clear analytical tasks
- Preferred Qualifications:
- Advanced degree (Master’s or Ph.D.) in a quantitative field such as Mathematics, Computer Science, Operations Research, or Economics
- Extensive knowledge and practical experience in statistical methods such as causal inference, experimental design, and Bayesian inference
- Advanced skills in R or Python, and experience with machine learning models
Responsibilities
- Define KPIs and create reports and dashboards against large data sets to track performance
- Use data to identify opportunities for improving user acquisition and optimizing return on investment
- Turn ambiguous questions into clear analytical problems and solve them using data
- Become deeply familiar with product data, understanding its limitations and caveats, to support development and growth
- Design, execute, and analyze experiments that drive product growth and improvement
- Create readable and informative data visualizations, documentation, and presentations to communicate insights to stakeholders and executives
- Collaborate closely with product management, engineering, design, and marketing teams to drive the development, prioritization, and planning of the product roadmap
- Transform insights into decisive actions and product enhancements, providing business teams with actionable insights
- Investigate issues to empower leadership decisions
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
Is this position remote or hybrid?
The role offers a hybrid work environment, and most US-based positions can also be performed remotely unless exceptions are noted in the Minimum Qualifications.
What are the minimum qualifications for this Decision Scientist II role?
Candidates need a Bachelor's degree in a quantitative field like Mathematics, Computer Science, Operations Research, or Economics (or equivalent), 3+ years in product analytics, business operations, analytics, growth marketing, or product, proficiency in A/B testing, experimental design, statistical modeling, causal inference, and skills in Python (numpy/pandas/matplotlib), R, and SQL, plus a structured analytical approach.
What technical skills are required for this position?
Proficiency in statistical computing and scripting languages such as Python (numpy/pandas/matplotlib), R, and SQL is required, along with A/B testing, experimental design, statistical modeling, and causal inference.
What is the salary or compensation for this role?
This information is not specified in the job description.
What makes a strong candidate for this Decision Scientist II position?
Strong candidates will have a Bachelor's or advanced degree in a quantitative field, 3+ years of relevant analytics experience, proficiency in Python, R, SQL, A/B testing, and statistical modeling, plus a structured approach to turning complex problems into analytical tasks; an advanced degree is preferred.
ZipRecruiter
Online job search and recruitment platform
About ZipRecruiter
ZipRecruiter connects job seekers with employers through an online employment marketplace. The platform allows users to search millions of job listings and apply with a single click, simplifying the hiring process. A key feature is "Phil," an AI-driven personal recruiter that assists job seekers by helping them find opportunities, offering application tips, and providing updates on their application status. ZipRecruiter serves a wide range of clients, from small businesses to large enterprises, enabling employers to post jobs, search for candidates, and manage applications efficiently. The company operates on a subscription model, where employers pay to access job listings and the candidate database. This model supports ongoing improvements to their technology and services. ZipRecruiter stands out from competitors with its user-friendly interface, advanced AI capabilities, and strong customer support, aiming to make job searching and hiring more effective for everyone.
Santa Monica, CaliforniaHeadquarters
2010Year Founded
$261.7MTotal Funding
IPOCompany Stage
Consulting, EducationIndustries
1,001-5,000Employees
Benefits
Competitive Compensation
Health, Dental & Pet Insurance
Flexible Time Off
Generous Parental Leave
Volunteer Program
Risks
Increased competition from AI-driven platforms like LinkedIn and Indeed.
Economic uncertainties may reduce hiring budgets, impacting subscription revenue.
AI integration raises privacy concerns and regulatory scrutiny affecting operations and trust.
Differentiation
ZipRecruiter's AI-driven recruiter 'Phil' offers personalized job search assistance 24/7.
The platform's user-friendly interface simplifies the hiring process for employers and job seekers.
ZipRecruiter's subscription model provides a steady revenue stream for continuous technology investment.
Upsides
Integration with iCIMS ATS enhances recruitment efficiency and reduces candidate drop-off rates.
Acquisition of Breakroom boosts employer branding and attracts more job seekers.
2024 Labor Market Outlook report helps tailor services to emerging industry demands.
Related Jobs
RemoteRemoteStaff Data Scientist - Performance Marketing
QuinceSalary not specified
- Full Time
- Junior (1 to 2 years)
RemoteSenior Data Scientist
PhantomSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteQuantitative Analyst II
AffirmSalary not specified
- Full Time
- Mid-level (3 to 4 years)
RemoteLead Data Scientist (Product & Experimentation)
PhiloSalary not specified
- Full Time
- Expert & Leadership (9+ years)
RemoteData Scientist
NorthbeamSalary not specified
- Full Time
- Junior (1 to 2 years), Mid-level (3 to 4 years)
RemoteBusiness Intelligence Developer
Evolve TechnologySalary not specified
- Full Time
- Junior (1 to 2 years)
RemoteProduct Strategy Lead (Product + Analytics), Remote
AledadeSalary not specified
RemoteDirector | Data Science
MachinifySalary not specified
- Full Time
- Expert & Leadership (9+ years)
RemoteBlockchain Intelligence Analyst
TRM LabsSalary not specified
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
RemoteApplied Scientist
KoBold MetalsSalary not specified
- Full Time
- Senior (5 to 8 years), Expert & Leadership (9+ years)
RemoteSenior Product Analyst
EarnestSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteSenior Director, Statistical Methodologist
BiogenSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteSenior Machine Learning Engineer - Machine Learning Infrastructure
FlipSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteResearch Scientist II
DataminrSalary not specified
- Full Time
- Junior (1 to 2 years)