Job details for
Staff Data Scientist

Staff Data Scientist

Job Info

Category: Data
Company Description: Leading Edtech Firm
Salary: Highly Competitive, Depending on Experience
Position Type: Permanent
Job Number: 10131

Job Description

The Role:

We are looking for an experienced Staff Data Scientist to join us and drive growth and evolution of our product. You will work with big data sets, using deep statistical models to drive actionable insights and tackle high impact business problems. Leveraging your expertise in stats and data science, as well as your business acumen and creative mind, you will be telling the story behind your insights. You’ll be painting a picture to our functional partners, and explain to them what the numbers are telling us, why it matters to them, and recommend product changes, new features, and A/B tests for implementation. You can expect to spend 80% of your time individually driving analyses and insights, and the other 20% managing or mentoring a small team of data scientists.

The Team:

The analytics team with our Client is central to our functional organization, and heavily influences the strategy and tactics of our company’s roadmap. The analytics team is rapidly growing in order to generate more and more analytical insights to fuel our clients’s growth while giving directions to our product strategy. We are also constantly improving and innovating ways that our client can use data to drive growth and strategic initiatives.

Here are some ways you’ll make an impact:

  • You'll lead and work with members of the Analytics team to deliver data insights that help product owners make better business decisions and strategies.
  • You'll mine structured and unstructured data platforms to understand customer attributes, engagement with the products, and growth opportunities of our business. You’ll help model complex relationships in the presence of many confounding factors.
  • You’ll be able to come up with quick hypotheses on the fly to diagnose and explain trends in our growth rate. You’ll also be able to build diagnostic frameworks to come up with more scalable ways of answering business questions about trends in growth rate.
  • You’ll design innovative A/B testing techniques.
  • You’ll optimize the true impact of a test by segmenting millions of interconnected users, and using sound methodology to interpret test results in the face of such extensive interconnection.
  • You’ll work on predictive modeling problems everywhere across our product. You’ll design and implement machine learning models to support our clients products.
  • You'll conduct deep-dive analyses and investigations to understand customer experience including: touch points, cross-channel behaviors, drivers, preferences and segmentation.
  • You'll proactively identify opportunity areas and propose strategic initiatives and goals to help our functional partners to achieve their goals and drive growth
  • You'll effectively communicate data findings to internal and external team members
  • You'll be an integral part of our team and continue to build on our collaborative culture
  • You'll always be looking for ways to improve the status quo and raise the standards of our team

Are you Our Star Staff Data Scientist?

  • You have 7-10 years of working experience in data science or analytics. Research experience gained during a doctoral program will be considered.
  • You have a MS or PhD degree in a scientific or quantitative field.
  • You have a deep understanding of data science and statistical analyses. You have experience building mathematical algorithms and machine learning models using tools like R, Python, Matlab, or Stata.
  • You have experience using common data mining and visualization techniques
  • You are proficient in SQL and have experience working with large datasets
  • You have experience managing or mentoring other data scientists

Bonus Points:

  • You have knowledge and experience working with Google Analytics, Tableau, Amplitude, and Treasure Data
  • You have experience working in education or e-commerce domain

What We Offer You

  • Industry competitive salary and stock options
  • Full coverage (medical, dental, vision, and life)
  • 401(k) program to help you save for the future
  • Educational assistance program to support lifelong learning
  • Commuter benefits, cell-phone allowance, and a free gym membership
  • Regularly planned team outings and company events
  • Free weekly and discounted lunches, plus an endless snack and drink supply
  • Opportunity to make a meaningful impact in a revolutionary space

About Us:

Our Client is a fast-growing education technology company, building the world’s largest platform of crowd-sourced learning materials and making education more accessible. Technology is revolutionizing the way we learn, and we’re committed to helping our users share and access the great academic content that they need to master their classes. This includes anything from study guides, test prep, on-demand tutors, homework help, flashcards, videos, and more.

Our company culture is very open, flat, and collaborative. On our team, we’re problem solvers, we think like owners, and we embrace a growth mindset in our efforts to continually better our product. We’re growing fast, we’re profitable, and we’re looking for new team members to help us plot our course towards future success!


Andiamo is an Equal Opportunity Employer

Andiamo provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Andiamo complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

All qualified candidates are encouraged to apply by submitting their resume as an MS word document including a cover letter with a summary of relevant qualifications, highlighting clearly any special or relevant experience.
Andrew Bolisay

Andrew Bolisay

Technology Talent Acquisition Specialist

Contact Recruiter

17 State Street, 8th floor
New York, New York 10004

Please Note: All inquiries will be treated with the utmost confidentiality. Your resume will not be submitted to any client company without your prior knowledge and consent.

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