Upwork

Sr Data Scientist

Remote

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Online Marketplaces, Biotechnology, AI, Staffing and RecruitingIndustries

Requirements

Candidates should possess a strong background in statistical inference, observational causal inference, and applied machine learning modeling with at least 4 years of experience in data science or a related role. A degree in a quantitative field such as Math, Statistics, Economics, or Computer Science is required, with a Master's or PhD preferred. Proficiency in data wrangling and modeling in Python or R (e.g., Pandas, Polars, Tidyverse) and experience with large-scale data on cloud platforms like SageMaker, Kubeflow, Snowflake, or Databricks are essential. The ability to translate data insights into compelling narratives and visualizations that influence decision-making is also necessary.

Responsibilities

The Senior Data Scientist will design models to measure and predict customer behavior, lifetime value, and marketplace health, impacting decision-making across multiple business verticals. Responsibilities include tackling complex marketplace problems, delivering insights to drive product strategy, and partnering with Product, Marketing, and Trust & Safety teams. The role involves owning data workflows end-to-end using Python, SQL, pandas, and Snowflake, and building/scaling models and analyses on platforms like AWS SageMaker, Hex, or Snowflake. Additionally, the Senior Data Scientist will communicate findings clearly to both technical and non-technical audiences to influence strategic decision-making.

Skills

Data Science
Python
SQL
pandas
Snowflake
AWS SageMaker
Machine Learning
Data Analysis
Feature Engineering
Statistical Modeling
Predictive Modeling
Customer Behavior Analysis
Marketplace Optimization

Upwork

Online platform connecting freelancers and clients

About Upwork

Upwork connects freelancers with clients looking for various services in the gig economy, which focuses on short-term contracts instead of permanent jobs. The platform allows freelancers to create profiles that showcase their skills, while clients can post job listings for specific projects. Freelancers bid on these projects, and clients choose the best candidates based on proposals and reviews. Upwork earns revenue through service fees charged to freelancers based on their earnings, with a tiered structure that rewards long-term client relationships. The platform also offers premium memberships and additional services for enhanced visibility and access to job listings. Upwork provides tools for time tracking, invoicing, and project management, making it easier for both freelancers and clients to manage their work and payments. The goal of Upwork is to facilitate successful project completion by bridging the gap between freelancers and clients.

San Francisco, CaliforniaHeadquarters
2015Year Founded
$143.8MTotal Funding
IPOCompany Stage
Consulting, Enterprise SoftwareIndustries
10,001+Employees

Benefits

Health Insurance
Unlimited Paid Time Off
401(k) Retirement Plan
401(k) Company Match
Parental Leave
Employee Stock Purchase Plan

Risks

Increased competition from Fiverr and Toptal threatens Upwork's market share.
The new Fiverr-style Project Catalog may commoditize services, reducing freelancers' perceived value.
Strategic shifts under new management may not align with current client expectations.

Differentiation

Upwork connects freelancers with clients across diverse industries, enhancing global work opportunities.
The platform offers tools like time tracking and invoicing for efficient project management.
Upwork's tiered fee structure incentivizes long-term client relationships, differentiating it from competitors.

Upsides

Upwork's acquisition of Objective AI enhances its AI capabilities for better talent matching.
The introduction of Featured Jobs increases visibility for job posts, attracting more candidates.
Upwork's recognition as the top job posting site boosts its credibility among employers.

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