Data Scientist at Encord

San Diego, California, United States

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial ServicesIndustries

Requirements

Bachelor's degree in Statistics, Engineering, or qualitative science
2 years of experience in Data Scientist or related field
Knowledge of intermediate to advanced proficiency in MS Office and other systems
Intermediate to advanced proficiency in base SAS, Python, or R
Expertise in formal statistical methodologies
Strong knowledge of Logit models, Generalized linear models, Categorical data analyses, ANOVA and regression
Proficiency with ML packages, cloud computing
Proficiency with MS Office, particularly Excel
Intermediate to advanced proficiency in MS Office and other systems
Experience with base Python or R

Responsibilities

Works with partners in Operations to aid in the development and implementation of score-based and logic-based collections practices
Works closely with Managers during the creation and validation of valuation products
Responsible for the collection, management, and analysis of internal data to support modeling and collections strategies
Implements, tracks, and validates score-based collections strategies
Facilitates the use of Data Science methodologies throughout the servicing operation
Collaborates with group analysts as they specify and validate collections strategies
Maintains collections forecasts
Develops credit scores to support valuation and collections activities
Collaborates with Marketing, Acquisitions, and Operations to aid in the development and implementation of score-based and logic-based collections practices

Skills

Data Science

Statistical Modeling

Machine Learning

Python

SAS

Data Analysis

Forecasting

MS Office

Encord

Data platform for computer vision workflows

About Encord

Encord specializes in providing a data platform focused on advanced computer vision technology. The platform offers tools that help businesses manage their data labeling and workflow processes efficiently. It allows AI teams to create high-quality 'Ground Truth' data significantly faster, which is crucial for training AI models. Encord combines technology with human expertise to ensure the quality of data management services, making it distinct from competitors. The platform supports various types of visual data, including images, videos, and medical imagery, and features automated labeling and customizable workflows that integrate human input. The goal of Encord is to streamline the data management process for AI teams, enabling them to scale their projects effectively while maintaining high standards of quality.

London, United KingdomHeadquarters

2020Year Founded

$45.8MTotal Funding

SERIES_BCompany Stage

Data & Analytics, AI & Machine LearningIndustries

51-200Employees

Benefits

Social events

Flexible hours

Hybrid work

Fresh equipment & gear

Health insurance

Generous PTO

Visa sponsorship

Team lunches

Risks

Encord faces competition from established players like Scale AI and emerging startups.

Generative AI's rise may shift investor focus away from predictive models.

AI-generated content and deepfakes could lead to regulatory challenges for Encord.

Differentiation

Encord offers a unified platform for vision and multimodal AI development.

The platform integrates human-centric workflows for efficient data labeling and curation.

Encord provides tools for active learning, enhancing model performance and data quality.

Upsides

Encord raised $30M in Series B funding, indicating strong investor confidence.

The AI data annotation market is projected to reach $3.6 billion by 2027.

Encord's launch of SAM 2 shows agility in adopting cutting-edge AI models.

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