About the role

Seek’s Data Science team is central to our mission making advanced predictive analytics and machine learning applications accessible to businesses of all sizes.  Your work will involve exploring customer and partner data sets, developing predictive models, and applying machine learning techniques to uncover trends, patterns, and insights that can generate significant improvements to industry-wide practices. You will collaborate closely with stakeholders to build and launch new analytics apps, ensuring that the insights generated are accessible through Seek’s app store.

What you'll be doing

• 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. 

• Work 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 

• Experience with data visualization tools and techniques 

• Excellent problem-solving and creative thinking skills with 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 

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

Preferred Experience

• Experience with SnowPark (Snowflake) for Python: DataFrame API, user-defined functions (UDFs), and ML Pipelines 

• ML performance optimization experience: efficient computation, parallel processing, hyperparameter turning, model pruning, and quantization  

What Sets Us Apart

• Seek values a flexible work environment, supporting work-life balance and families. 

• We encourage ownership of your projects and look for team members who can drive initiatives forward.  

• We strive for a culture where small experiments, iterative progress, and data-driven decision making are the norm.  

• You’ll join a diverse team where different perspectives are valued and where your growth mindset is nurtured.  

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To Apply: Please send your cover letter and resume to [email protected]. Include the name of the person who referred you (if applicable). Thank you for your time and consideration.