Senior Data Scientist - Remote Position

About the Role

We are seeking a Senior Data Scientist - Remote to join our innovative team at Seek. In this role, you will leverage your expertise in data science to drive business value through advanced predictive analytics and machine learning applications. Your work will be pivotal in making data insights accessible to businesses of all sizes, enhancing their decision-making processes.

What You'll Do

• Analyze large and sparse datasets to extract meaningful patterns, trends, and insights using advanced statistical methods and machine learning algorithms.
• Construct and maintain data processing workflows, ensuring efficient mapping and transformation of client source data.
• Perform data enrichment by sourcing additional datasets and integrating them with client data to enhance analytical depth and accuracy.
• Develop complex SQL queries and Python scripts to transform and model data, tailoring configurations and fine-tuning parameters for optimal performance.
• Translate business challenges into analytical frameworks, proposing and implementing data-driven solutions that have a tangible impact on our clients’ decision-making processes.
• Create and maintain interactive dashboards that provide intuitive visualizations of data insights, enabling users to derive clear, actionable information.
• Collaborate closely with analytics engineers, other data scientists, and business stakeholders to ensure that ML models are aligned with business goals and technical requirements.
• Write clear and comprehensive documentation for ML models, pipelines, and workflows to facilitate collaboration and reproducibility.

Requirements

• 5+ years of experience in data science, with a proven track record of deploying and training machine learning models.
• Advanced proficiency in Python ML libraries such as Scikit-learn, TensorFlow, and PyTorch for regression, classification, clustering, and deep learning techniques.
• Strong understanding of gradient boosting frameworks such as XGBoost and LightGBM for building high-performance models.
• Strong expertise in data and feature engineering including data cleaning, normalization, transformation, and creating/selecting relevant features from raw data.
• Strong expertise working with large-scale datasets directly within cloud data warehouses such as Snowflake, DataBricks, or Redshift.
• Advanced SQL skills: joins, subqueries, window functions, common table expressions (CTEs), aggregations, complex string manipulations, stored procedures, and functions.
• Bachelor's degree in data science, statistics, computer science, or a related field.

Nice to Have

• Experience with SnowPark ML (Snowflake) for Python: DataFrame API, user-defined functions (UDFs), and ML Pipelines.
• ML performance optimization experience: efficient computation, parallel processing, hyperparameter tuning, model pruning, and quantization.
• Experience with data visualization tools and techniques.
• Excellent problem-solving and creative thinking skills with the ability to drive complex data analysis and development forward independently.
• Strong communication skills with the ability to present data and articulate complex technical concepts clearly and concisely.

What We Offer

• Medical Insurance, Dental Insurance, PTO, 16 annual company holidays, 401K, Vision Insurance.
• Flexible work environment promoting work-life balance.
• Opportunities for professional development and growth within a diverse team.
• Access to cutting-edge tools and technologies in data analytics.
• Collaborative culture that values ownership and innovation.