Senior Data Scientist, ClickUp
$140-190k
+ Equity
More information about location
Workplace productivity platform
Be an early applicant
Workplace productivity platform
1001+ employees
Be an early applicant
$140-190k
+ Equity
More information about location
1001+ employees
Company mission
To save people time by making the world more productive.
Role
Who you are
- ClickUp is seeking a technical expert in recommendation systems and advanced deep learning that has strengths in architecting comprehensive, end-to-end machine learning pipelines and deployment strategies
- This individual has a strong and balanced understanding of model architectures such as Graph Neural Networks (GNN) and Transformers, and is well versed in modern MLOps practices
- The ideal Senior Data Scientist understands the mechanics of Product-Led Growth (PLG) and has prior experience working with Product, Analytics, and Engineering teams to build Next Best engines and intelligent personalization features
- You are an innovative technical thinker who makes impactful decisions supported by rigorous experimentation and large-scale data analysis
- If you're a curious, precise, and impact-driven go-getter that thrives when faced with complex technical challenges...this role is meant for you!
- 5+ years of direct experience in data science or machine learning, with a specific focus on recommendation systems
- Proven experience deploying machine learning models end-to-end in a SaaS or PLG environment
- Strong proficiency in Python and deep learning frameworks such as TensorFlow or PyTorch
- Hands-on experience with GNN, Transformers, or other advanced ML architectures
- Solid understanding of MLOps best practices, data pipelines, and containerization (Docker, Kubernetes)
- Expertise in working with large-scale datasets and distributed computing tools (e.g., Spark, Hadoop)
- Strong problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders
- Hands-on experience with the modern data stack: Snowflake, Hex, and cloud platforms (AWS/GCP)
- Solid understanding of MLOps best practices and CI/CD for machine learning (MLflow, Docker, Kubernetes)
What the job involves
- You'll build advanced recommendation models, such as Next Best Offer systems, leveraging cutting-edge techniques
- Create and own the end-to-end lifecycle of machine learning models, from data preprocessing and feature engineering to production deployment
- Design and deploy scalable machine learning architectures that integrate seamlessly into customer-facing applications
- Continuously evaluate and improve model accuracy, scalability, and computational efficiency
- Stay up-to-date with the latest advancements in machine learning to ensure best-in-class solutions are applied to business problems
- Report to the Director of Growth Data Science
- Work with the Growth Data Science team to drive measurable impact on user engagement and business outcomes
- Collaborate with cross-functional partners in Product, Engineering, Analytics, and Marketing to deliver data-driven solutions
- Identify new opportunities to uncover actionable insights from large-scale datasets
- Grow the effectiveness of the PLG funnel through optimized model performance and personalization
Our take
Clickup provides a set of professional tools for collaborative project management, spreadsheets, document processing and workplace communication which are accessed from a single platform. In contrast to most of the austere, pared-back tools you might find in the workplace, it takes a playful approach, with its programs looking more like fun consumer-focused apps while still being fully-featured.
The company isn't alone in the workplace productivity market, counting Asana, Jira, Slack, and Monday among just a few of its competitors. However its advantage comes from its unified platform which encourages users to stay in ClickUp's ecosystem rather than look outside for other tools. Indeed, the vast majority of its users utilise three or more of its products. This has led to strong success in its market, with over 800,000 teams using the platform in enterprises such as IBM, logitech and Spotify.
ClickUp has been the beneficiary of a significant amount of investment, which it has used to develop its product and expand internationally. As it grows its footprint in Asia and Europe, where nearly half of its customers are based, it has also unveiled a new version of its platform which integrates AI writing and advanced search tools. The company is well poised to deliver on its vision of becoming the one app to replace them all.
Freddie
Company Specialist at Welcome to the Jungle
Insights
10% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Oct 2021
$400m
SERIES C
Dec 2020
$100m
SERIES B
Total funding: $537.2m
Company benefits
- 16" MacBook Pro
- Moving Expenses
- $200/mo commuter benefits
- Team lunches each week
- 401(k) match up to 2%
- Unlimited snacks, kombucha, and cold brew
- Health insurance
- Dental insurance
- ClickUp swag
- Teammate recognition rewards
- Flexible PTO
Company HQ
East Village, San Diego, CA
Leadership
Alex Yurkowski
(Co-Founder & CTO)Previously co-founded Mango Technologies. Experience as a Software Engineer for IBM and as an iOS Developer for Notre Dame Research Group.
Zeb Evans
(Co-Founder & CEO)Previously co-founded Fast Followerz and spent one year as a Monorail Driver for Walt Disney World.
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