90 applicants

Company

Original Job Post

Caden · 4 days ago

Data Scientist

New York, NY

Full-time

Hybrid

Mid Level

$130K/yr - $160K/yr

2+ years exp

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Responsibilities

Process, cleanse, and verify the integrity of data used for downstream analytics products

Apply advanced machine learning, graph analytics, data mining, statistical methods, algorithms, and time series models to vast amounts of user data to derive insights based on the knowledge graph (ontology)

Participate in strategic planning and be responsible for the team roadmap and its execution.

Stay updated with the latest research and advancements in machine learning and AI to identify opportunities to apply them to enhance our products/services.

Combine traditional ML methods with latest AI advancements and our Knowledge Graph (Ontology) that is central to our platform and AI capabilities.

Design and implement innovative machine learning algorithms that solve complex problems and provide actionable insights.

Apply advanced statistical and ML techniques to analyze large and complex data sets, extracting meaningful patterns and to enrich the quality and coverage of our data.

Ensure proper DataOps and MLOps practices are implemented so that data pipelines are efficient, reliable, and optimized for machine learning tasks.

Communicate technical findings and insights to both technical and non-technical stakeholders in a clear and effective manner.

Collaborate with cross-functional teams to integrate machine learning models into production systems and monitor their performance.

Ensure compliance with data privacy and security regulations in all data science and machine learning initiatives.

Qualification

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Machine learningPythonJavaBig data pipelinesAwsGoogle cloudSnowflakeNatural language processingData miningSqlSupervised learningUnsupervised learningDeep learningAi foundationsProblem-solvingCommunicationTeamworkPresentation

Required

Degree within Computer Science, Data Engineering, or a related field.

Proven experience in designing, developing, and deploying machine learning models in a real-world setting.

2-4+ years of industry experience in applying AI/ML, preferably on well-known consumer data products or services.

Hands-on experience in delivering production-ready code (Python, Java, etc.)

Hands-on experience using modern big data pipelines (AWS, Google Cloud, Snowflake) AI/ML models, Natural language process (NLP) and data mining experience

Proficiency in SQL and working with large and complex datasets.

Solid understanding of ML and AI foundations - Supervised/Unsupervised learning methods, deep learning architectures, Natural Language Processing (NLP), etc.

Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills, with the ability to present complex technical concepts to both technical and non-technical audiences.

Strong problem-solving skills and a track record of developing innovative solutions to complex technical challenges.

Benefits

Health & Commuter Benefits

Flexible PTO

Hybrid work arrangements

In-office work perks such as snacks & drinks, pet-friendly environment

Company

Caden

Caden is a next-gen data company, debuting the first Open Data platform, which puts users firmly in the middle of the marketplace so they can control their data and make money from it.

Founded in 2021

New York City, New York

11-50 employees