Mid-Level Data Scientist / Quant - Risk & Trading

Las Vegas, Nevada, United States

Apply with AI Apply

Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Sports & Recreation, Data & AnalyticsIndustries

Requirements

Candidates should possess 3-5 years of experience in data science, machine learning, or quant research, demonstrating comfort in independently managing end-to-end projects. Proficiency in Python, SQL, and modern machine learning tools such as scikit-learn and XGBoost is required, along with familiarity with sports data and the economics of fantasy/sportsbook markets.

Responsibilities

The Mid-Level Data Scientist / Quant will be responsible for feature engineering and model tuning within BigQuery and SQLX, training and deploying predictive models to forecast player performance and market volatility, developing rule-based limiters and anomaly-detection jobs, building Grafana dashboards and SQLX reports for stakeholders, and participating in a light on-call rotation to respond to alerts and execute manual overrides during peak sports windows. They will also collaborate cross-functionally with Backend & Data Engineers and Product to productionize models and iterate on game mechanics.

Skills

Python

SQL

scikit-learn

XGBoost

Airflow

BigQuery

Pandas

Model Tuning

Feature Engineering

Predictive Modeling

Anomaly Detection

Dashboarding

Grafana

Sleeper

Fantasy sports platform with social features

About Sleeper

Sleeper operates a platform for managing fantasy sports leagues, particularly focusing on fantasy football and bracket pools. Users can engage with the platform through features like in-app chat, live game watching, and an easy-to-navigate design, which fosters communication and shared experiences among sports fans. Unlike many competitors, Sleeper does not rely on advertisements for revenue; instead, it offers premium features and services, such as advanced draft modes and customization options, to enhance the user experience. This focus on quality and user engagement has led to significant growth, with over 4 million users and high retention rates. Sleeper's goal is to create a social and immersive fantasy sports environment that keeps users engaged throughout the sports season.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$67.3MTotal Funding

SERIES_CCompany Stage

Consumer Software, GamingIndustries

51-200Employees

Benefits

Health Insurance

Unlimited Paid Time Off

401(k) Retirement Plan

Risks

New fantasy sports platforms with innovative features may erode Sleeper's market share.

Sports betting apps integrating fantasy elements may attract users from Sleeper.

Stricter data protection regulations could impact Sleeper's data-driven features.

Differentiation

Sleeper offers an ad-free experience, unlike many competitors in the market.

The platform includes in-app chat and live game watching for enhanced user interaction.

Sleeper focuses on a premium user experience with advanced draft modes and customization.

Upsides

Increased interest in women's sports offers expansion opportunities for Sleeper.

Blockchain integration can enhance security and transparency for Sleeper users.

The rise of micro-betting could boost user engagement on Sleeper's platform.

Land your dream remote job 3x faster with AI

Try Jobo Free