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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in data analysis and machine learning, with strong capabilities in data transformation, feature engineering, and visualization. Experienced in developing analytical models and collaborating with cross-functional teams to drive data-driven solutions.
Highest-signal resume keywords
Data Science ExperiencePython Libraries ProficiencySQL SkillsData Visualization ToolsML Performance Optimization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisFeature EngineeringData TransformationMachine Learning AlgorithmsComplex QueriesData EnrichmentStatistical MethodsData Processing WorkflowsModel DevelopmentData Cleaning
Soft Skills
Problem-SolvingCreative ThinkingStrong CommunicationCollaboration
Tools & Technologies
PythonSQLPySparkSnowParkGitHubGitLabSnowflakeDatabricksRedshiftBI Tools
Certifications & Qualifications
Bachelor's Degree in Data ScienceBachelor's Degree in StatisticsBachelor's Degree in Computer Science
Industry Keywords
Data AnalyticsCloud Data WarehousesData VisualizationMachine LearningData Pipelines
Tech Stack
Tools & technologiesAmazon RedshiftCloudPySparkPythonSQL
About the role
Key responsibilities & impact- Analyze large, sparse, and messy 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 source data
- Perform data enrichment by sourcing additional datasets and integrating them with publisher data
- Develop complex queries and scripts to transform and model data
- Tailor configurations and fine-tune parameters for optimal performance
- Translate business challenges into analytical frameworks and implement data-driven solutions
- Assist BI Developers in creating interactive dashboards and intuitive data visualizations
- Collaborate with BI developers, data engineers, other data scientists, and business stakeholders
- Ensure models align with business goals and technical requirements
- Write documentation for models, pipelines, and workflows to facilitate collaboration and reproducibility
- Explore subscriber and publisher datasets, improve existing apps, and develop analytical models for Seek’s ML cloud platform and app store
- Build and launch analytics apps accessible through Seek’s Insight Cloud
Requirements
What you’ll need- 1+ year of experience in data science or data analytics
- Proficiency in common data science Python libraries for data transformation, regression, classification, and clustering
- Experience in data prep and feature engineering, including cleaning, normalizing, transforming, and selecting relevant features from raw data
- Proficient 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 or dashboarding products
- Excellent problem-solving and creative thinking skills
- Ability to drive complex data analysis and development forward independently
- Strong communication skills and 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
- Experience with PySpark or SnowPark for Python, SQL user-defined functions and table functions (UDFs & UDTFs)
- Familiarity with version control such as GitHub or GitLab and production deployment pipelines
- Experience working with large-scale datasets directly within cloud data warehouses such as Snowflake, Databricks, or Redshift
- ML performance optimization experience, including efficient computation, parallel processing, hyperparameter tuning, model pruning, and quantization
- Candidates must be based in the US
- No visa sponsorship is available
Benefits
Comp & perks- Medical Insurance
- Dental Insurance
- PTO
- 16 annual company holidays
- 401K
- Vision Insurance
- Work-life balance
- Opportunities to grow alongside talented peers
