Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Analyze extensive, sparse, and disorganized datasets to derive significant patterns, trends, and insights utilizing advanced statistical techniques and machine learning algorithms.

• Create and uphold data processing workflows, ensuring the effective mapping and transformation of source data.

• Enhance data quality by sourcing supplementary datasets and merging them with publisher data.

• Develop intricate queries and scripts for data transformation and modeling.

• Customize configurations and refine parameters to achieve optimal performance.

• Convert business challenges into analytical frameworks and execute data-driven solutions.

• Support BI Developers in the creation of interactive dashboards and user-friendly data visualizations.

• Collaborate with BI developers, data engineers, other data scientists, and business stakeholders.

• Ensure that models align with business objectives and technical specifications.

• Draft documentation for models, pipelines, and workflows to promote collaboration and reproducibility.

• Investigate subscriber and publisher datasets, enhance existing applications, and create analytical models for Seek’s ML cloud platform and app store.

• Construct and deploy analytics applications that can be accessed through Seek’s Insight Cloud.

⛳️ Requirements

• Over 1 year of experience in data science or data analytics.

• Proficiency in popular data science Python libraries for data transformation, regression, classification, and clustering.

• Experience in data preparation and feature engineering, including cleaning, normalizing, transforming, and selecting relevant features from raw datasets.

• Strong SQL skills: joins, subqueries, window functions, common table expressions (CTEs), aggregations, complex string manipulations, stored procedures, and functions.

• Familiarity with data visualization tools and techniques or dashboarding products.

• Exceptional problem-solving abilities and creative thinking skills.

• Capability to independently advance complex data analysis and development.

• Strong communication skills with the ability to present data and convey complex technical concepts clearly and concisely.

• Bachelor's degree in data science, statistics, computer science, or a related discipline.

• Experience with PySpark or SnowPark for Python, SQL user-defined functions, and table functions (UDFs & UDTFs).

• Knowledge of version control systems such as GitHub or GitLab and production deployment pipelines.

• Experience working with large-scale datasets directly in cloud data warehouses like Snowflake, Databricks, or Redshift.

• Experience in ML performance optimization, including efficient computation, parallel processing, hyperparameter tuning, model pruning, and quantization.

• Candidates must reside in the US.

• Visa sponsorship is not available.

🏝️ Benefits

• Medical Insurance

• Dental Insurance

• PTO

• 16 annual company holidays

• 401K

• Vision Insurance

• Work-life balance

• Opportunities for growth alongside talented peers