Data Scientist, Product in New York

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Job DescriptionJob Description

Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.

We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.

Our Products

Captions

Mirage Studio

Our Technology

AI Research @ Mirage

Mirage Model Announcement

Seeing Voices (white-paper)

Press Coverage

TechCrunch

Lenny’s Podcast

Forbes AI 50

Fast Company

Our Investors

We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz , Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.

• Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)

We do not work with third-party recruiting agencies, please do not contact us

About the Role :

As a member of our Data Science staff, you’ll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You’ll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue.

Key Responsibilities :

Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities

Design and evaluate rigorous A / B tests and set success criteria and power and guardrails and deliver clear post experiment readouts

Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation

Develop and maintain analytical models and reproducible pipelines that support full funnel analytics

Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk

Create executive ready visualizations and dashboards that drive alignment and action among stakeholders

Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle

Provide recommendations to improve user experience and conversion and overall product performance and track realized impact

Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods

Requirements :

5+ yearsas a data scientist or in a similar role with a focus on product analytics

High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling

Expertise in statistical analysis, hypothesis testing, and experimental design for A / B testing and product experimentation

In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling

Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations

Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business

Bonus Points :

Master’s or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related)

Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement

Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks

Benefits :

Comprehensive medical, dental, and vision plans

401K with employer match

Commuter Benefits

Catered lunch multiple days per week

Dinner stipend every night if you're working late and want a bite!

Grubhub subscription

Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)

Multiple team offsites per year with team events every month

Generous PTO policy

Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to , , , , , , status, genetics, protected veteran status, , or expression, or any other characteristic protected by federal, state or local laws.

Please note benefits apply to full time employees only.

Compensation Range : $160K - $220K

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.