About this opportunity
TickPick lists this Data Scientist opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Core Responsibilities
Support the organization as we experiment with new product features and strategies, helping to forecast and understand the impact of these changes
Build, deploy, and maintain machine learning models in production — operationalizing them in a sustainable, maintainable way
Collaborate with product, growth, and development teams to identify opportunities to incorporate a data science approach to product / feature development, and to drive experiments and initiatives through to a decision and into production
Assist with analysis of large volumes of transactional data to identify opportunities to create efficient, transparent, and low-cost marketplace interactions that drive growth
Requirements
BA/BS in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, or Data Science
3+ years of experience with machine learning models including development, version control, and deployment/serving of models
Demonstrated experience operationalizing ML models in production — either independently or alongside an engineering team
Experience working with platforms such as Snowflake and Databricks
Proficient in one or more programming languages, such as Python
Experience using AI tools to increase throughput for exploratory data analysis, model development, experimentation, and more.
Strong planning, communication, and problem‑solving skills
Strongly Desired Attributes
A track record of getting stakeholder buy‑in and commitment on experiments and initiatives — communicating findings clearly, addressing concerns from the business, and ensuring that the results of your efforts lead to production impact
Experience with paid search and/or paid social, and with experimentation that supports growth teams in producing better user acquisition outcomes
Experience working with data modeling software and on teams with data modelers
Experience using analytical approaches to problem‑solving with large volumes of data
Nice to Have
Experience with marketplace businesses and dynamic pricing
A demonstrated interest in related areas such as marketplaces, financial markets, or other related areas (hands‑on experience a plus)
Benefits
A hybrid in‑office approach, enabling remote work a portion of each week
Health Care Plan (Medical, Dental & Vision)
Retirement Plan Contribution (401k, IRA)
Life Insurance (Basic, Voluntary & AD&D)
Paid Time Off (Vacation, Sick & Holidays)
Family Leave (Maternity, Paternity)
Training & Development
$100 Monthly Stipend to Attend Live Events
Employee Outings
Free Lunch & Snacks
The estimated pay range for this role, based in New York City, is $105,000 - $135,000.
This role will be eligible to participate in our company's equity program. Our salary ranges are based on paying competitively for our size and industry, and are one part of many compensation, benefits, and other reward opportunities we provide.
Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.
The range above is for the expectations as laid out in the job description. However, we are often open to a wide variety of profiles and recognize that the person we hire may be less experienced (or more senior) than this job description as posted. If that ends up being the case, the updated salary range will be communicated to you as a candidate.
Diversity and Equal Employment Opportunity
TickPick, LLC is proud to be an equal opportunity employer open to all qualified candidates regardless of race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, marital status, citizenship status, military status, protected veteran status, or any other category protected by law.
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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.