Data Scientist

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $105k - $120k / year

⏰ Full Time

🟢 Junior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Seek

51 - 200 employees

💼 Consulting

📣 Marketing

☁️ SaaS

Consulting • Marketing • SaaS

Seek is an analytics platform that provides powerful insights through an easy-to-use app store for business applications. It enables teams to access curated industry data models, efficient analytics applications, and robust data visualizations without the need for extensive expertise or an internal build. By streamlining data ingestion and modeling third-party data at scale, Seek aims to help businesses maximize their potential and accelerate their return on investment.

📋 Description

• 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

• 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

• Medical Insurance • Dental Insurance • PTO • 16 annual company holidays • 401K • Vision Insurance • Work-life balance • Opportunities to grow alongside talented peers

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