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Full-time
Posted 14h ago
~40 hrs/week
Responsibilities
The Data Scientist will translate business challenges into analytical solutions to drive growth and user retention. This includes building production-grade predictive models, managing A/B testing frameworks, and informing product roadmaps through strategic analysis.
Requirements
Candidates need 3+ years of experience in data science or analytics with advanced SQL skills and a proven track record of deploying models in production. Strong abilities in experimentation, data visualization, and communicating complex findings to non-technical stakeholders are required.
Full job description
At Aftershoot, we’re building a global community of photographers who spend less time behind their screens and more time behind the lens. Every feature we create, every update we ship, is designed to make post-processing easier, faster, and smarter for photographers around the world.
From culling to editing to retouching. Our AI tools do all the heavy lifting, so photographers can focus on what they do best: capturing moments, telling stories, and creating magic.
We’re a fast-growing, passionate team backed over 100K+ active users globally. Double-digit ARR in less than 4 years, amazing investors and team who truly believe in our mission.
Our mission is clear: Become the default companion for every photographer in the world.
If you care deeply about building meaningful products, working with curious and driven teammates, and being part of a team that genuinely loves what they do, we’d love to meet you.
Let’s create the future of AI in photography, together.
🚀Your Mission
As a Data Scientist, you'll be at the intersection of product, growth, and AI - turning ambiguous business challenges into rigorous analytical solutions that shape how Aftershoot grows and retains its global user base. You'll own the full lifecycle: from scoping the right problem, to building production-grade models, to driving alignment with cross-functional stakeholders.
🎯What You Will Be Doing
Problem Scoping & Analytics
- Independently translate business questions from Product, Marketing, and Growth into well-defined analytical problem statements - with minimal rework or scope creep.
- Own the end-to-end analytics lifecycle: from understanding the question to delivering an actionable recommendation.
- Build scenario planning models and strategic analyses that directly inform product roadmap and commercial decisions (e.g., repricing segmentation, churn strategy, seasonality planning).
Model Development & Deployment
- Build and deploy production-grade predictive models - such as churn probability scores at a user × month level - that are activated directly by downstream teams (e.g., Marketing re-engagement campaigns).
- Develop likelihood models for key conversion events (e.g., Trial Conversion Likelihood / Trial Quality Index) using behavioural signals, engagement patterns, and user context.
- Build marketing spend optimisation models to improve ROI on paid acquisition channels.
Experimentation
- Own and roll out a rigorous A/B testing framework - covering experiment documentation, sample sizing, power analysis, guardrail metrics, significance testing, and a centralised results repository.
Communication & Stakeholder Management
- Present complex model outputs, analytical findings, and trade-offs in clear, non-technical language that enables confident decision-making by business stakeholders.
- Embed with OKR planning cycles and task prioritisation across Product, Marketing, and Growth to ensure data bandwidth is aligned with the highest-impact priorities.
- Manage stakeholder expectations on deliverables, timelines, and model limitations - and drive projects through to organisational closure.
💪What We’re Looking For
- 3+ years of hands-on experience in data science, analytics, or a closely related role.
- Problem Scoping: Demonstrated ability to independently define analytical problems from ambiguous briefs — not just execute on pre-specified tasks.
- SQL (Advanced): Efficient joins, CTEs, window functions, query optimisation for large datasets.
- Predictive Modelling: Proven experience building and deploying models (classification, regression, survival/churn) in a production environment - not just in notebooks.
- Data Visualisation & Dashboarding: Strong experience building self-serve dashboards in Omni, Tableau, Power BI, Looker, or similar tools.
- Experimentation: Solid grasp of A/B testing methodology - power analysis, statistical significance, guardrail metrics, and experiment design.
- Communication: Ability to translate model outputs and analytical findings into business narratives that stakeholders can act on confidently.
- Analytical Thinking: Rigour in selecting the right methodology, questioning assumptions, and structuring a logical approach before execution.
We help photographers get their life back by automating their culling, editing & retouching.
Industry
Software Development
Company size
51-200 employees
Founded
2020
Headquarters
Lewes, Delaware
LinkedIn followers
20,436
Total funding
$120K
Aftershoot helps photographers spend less time behind the screen and more time doing what they love.
Whether you're culling thousands of wedding photos, editing portraits, or retouching a newborn session, Aftershoot takes care of the heavy lifting so you can focus on your craft (not your backlog).
With powerful AI tools, Aftershoot makes your post-production workflow faster, easier, and more consistent. No more back ache or burning hours behind the screen. Thousands of photographers around the world trust Aftershoot to deliver stunning results, faster.
Recent wins:
- Rated "excellent" on Trust Pilot with 1100+ 5 star reviews.
- Best AI Workflow Software Winner at TIPA 2025
- 200k+ Photographer Community
Try it free and see the difference for yourself here: https://aftershoot.co/freetrial-Linkedin
Offices: 16192 Coastal Hwy, Lewes, Delaware 19958, US · Building Number 8, Tower C, DLF CyberHub, Gurugram, Haryana 122002, IN
AI CullingAI EditingAI Photography Workflowand AI RetouchingPhotographySoftware