Senior Data Scientist

5 days ago

Apply Now

Receive Emails with Similar Jobs

Seek

WebsiteLinkedInAll Job Openings

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.

51 - 200 employees

🤝 B2B

☁️ SaaS

📋 Description

• 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 as a Software Developer/Engineer • 3 + 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.

🏖️ Benefits

• Medical Insurance • Dental Insurance • PTO • 16 annual company holidays • 401K • Vision Insurance