Staff Data Scientist - SEO Econometrics
Course Hero is hiring! Help us build a world where every student graduates, confident and prepared, through innovative applications of data science. Are you our dynamic Staff Data Scientist focusing on Search Engine Optimization Econometrics? SEO is an art form to which we are bringing more scientific, measurement, and statistical rigor. As one of the largest sites on the internet (100M+ indexed pages, 1B+ pageviews/year, 100M+ users/year) we have enough data to make meaningful innovations, and a world-class SEO team to partner with. Organic traffic is our lifeblood, so improving our understanding of search algorithms through measurement, experimentation, and modeling will improve our search rankings and therefore drive growth for the business.
Here are some ways you’ll make an impact:
- Work with SEO Strategists and peer Data Scientists to understand SEO best practices, propose strategic ideas, and develop measurement techniques to understand impact.
- Discover and validate key performance metrics, for ourselves and competitors.
- Develop models and datasets for synthetic control.
- Propose experimentation strategies utilizing our primary coursehero.com domain and our other domains.
- Model the value of different SEO improvement strategies – from changes to the site structure, internal linking, tagging, sitemaps, external links, etc.
- Model Top Level Domain health, again for the primary coursehero.com domain and our others, and competitors.
- Model the precursors of traffic, namely crawling, indexation, rankings and landing health. From that work, take charge of crafting and refining crucial metrics for the SEO domain, collaborating closely with cross-functional teams to deliver clear, actionable insights. Your ability to transform complex data into understandable metrics will guide our SEO strategies and decision-making processes.
- Build reusable analysis tools for sample sizing and post-test analysis.
- Effectively communicate findings to internal and external team members to guide decision making and drive implementation.
- Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses.
- Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.
Are you our Staff Data Scientist?
- 5+ years data science experience of continually increasing complexity and impact
- PhD degree in an applicable quantitative field like Statistics, Economics, Econometrics, Operations Research, Social Science, or similar, or MS and additional work experience.
- Excellent proficiency in Python (or R), SQL skill, and an obsession with data breadth, depth, and quality. Propose and research new / additional data sources.
- Deep understanding of statistics and probability, quantitative sciences, data analysis, predictive and ML modeling.
- Strong problem-solving, detail-orientation, and communication; a bias towards taking action quickly, making things happen, learning, and correcting course as you receive feedback.
- Experience shipping large scale inference models based on disparate data sources and non-obvious measurement techniques. This is both a research and an applied position.
- Bonus: Knowledge of SEO, Brand Marketing Measurement or similar hard-to-measure domains.
Benefits & Perks!
- Competitive salary, annual bonus, and RSUs
- Medical coverage, including full dental and vision
- Life and disability benefits
- 401(k) program (US) / retirement savings plan (Canada) with company match
- One month paid sabbatical after 5 years at the company
- Education reimbursement
- Professional development workshops & industry conferences
- Paid parental leave
- Flexible work schedule
- Social responsibility program (volunteer time off and donation matching)
- Annual wellness stipend
- Monthly tech stipend
- Annual family planning stipend
- Quarterly snack boxes delivered to your door
- Cell phone allowance
For positions in San Francisco, CA, and other locations where required, we will consider for employment qualified applicants with arrest and conviction records. Other locations: IL, MA, NJ.
Research shows that candidates from underrepresented backgrounds often don't apply for roles if they don't meet all the criteria. We strongly encourage you to apply if you're interested: we'd love to learn how you can amplify our team with your unique experience!
We are a virtual-first company and have employees dispersed throughout the United States and Canada. We have a market-based pay structure that varies by location. The base pay for this position is dependent on multiple factors, including candidate experience and expertise, and may vary from the amounts listed below. You may also be eligible to participate in our bonus program and may be offered an equity award, benefits, and other types of compensation.
This role is eligible for hire in the San Francisco Bay Area (US), Vancouver, Canada, & Toronto, Canada.
#USCanada
#LI-Hybrid
In accordance with Canadian law, the base salary for this role if filled within Canada is as follows.
Canada Pay Range
$165,000—$223,000 CAD
In accordance with California law, the base salary for this role if filled within SF Bay Area, California is as follows.
SF Bay Area, California Pay Range
$199,000—$269,000 USD
In accordance with California law, the base salary for this role if filled within Callifornia is as follows.
California Pay Range
$150,000—$269,000 USD
In accordance with Colorado law, the base salary for this role if filled within Colorado is as follows.
Colorado Pay Range
$150,000—$229,000 USD
In accordance with New York law, the base salary for this role if filled within New York is as follows.
New York Pay Range
$150,000—$255,000 USD
In accordance with Washington law, the base salary for this role if filled within New York is as follows.
Washington Pay Range
$150,000—$243,000 USD
Equal Employment Opportunity Statement (EEO)
We are an equal opportunity employer and value diversity and inclusion within our company. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or ability status. We will ensure that individuals who are differently abled are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment as provided to other applicants or employees. Please contact us to request accommodation.
About Course Hero:
Course Hero is on a mission to help students graduate, confident and prepared. The online learning platform offers over 60 million course-specific study resources created by and for students and educators, as well as 24/7 tutor help. More than 65,000 verified college educators use Course Hero to collaborate with other faculty and share resources to hone new strategies for instruction. Everyday, students, educators and tutors help more than 20 million students make every study hour count.
Join us on our mission!
