Principal Data Scientist

2 days ago

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Bigabid

WebsiteLinkedInAll Job Openings

Technology • Big Data • Machine Learning • Data Analysis • RTB

51 - 200

💰 Venture Round on 2016-08

Description

• Bigabid is at the forefront of harnessing the power of data for mobile app growth. • Built by a team of dedicated data scientists and engineers, our proprietary ad platforms, driven by machine learning, deliver unmatched results in the industry. • We're proud to serve a rapidly expanding clientele of major app developers with cutting-edge programmatic user acquisition and retargeting technologies. • Through our technology, we sift through tens of TB of raw data daily to make real-time ad recommendations. • We're seeking a Principal Data Scientist to enhance product performance and cost-effectiveness by leveraging expertise in ML and infrastructure systems. • This role involves delivering data-driven insights and scientific solutions, exploring new vertical landscapes, and harnessing the extensive data resources available at Bigabid for deeper understanding. • At Bigabid, talent never goes unnoticed. We foster a collaborative environment where each individual is encouraged to grow and contribute to our shared success. • While we push boundaries and redefine standards, we always remember to have fun. • Responsibilities: Lead the research and productization focused on understanding clients from new and emerging verticals. • Deliver end-to-end ML products - from data QA to research, model development, prototyping, offline validation, production implementation, and online testing. • Develop ML solutions using advanced techniques, specially tailored for new business landscapes. • Creating a solid experiment design and metric framework to deliver trustworthy and impartial insights vital for guiding product and business decisions with reliability. • Utilize the scientific method in designing, creating, tuning, and interpreting machine learning models tailored for these verticals. • Write production-quality code using Python. Perform data manipulation, validation, and cross-vertical research. Innovate with fresh research ideas and insights that can provide value to clients from diverse verticals. • Collaborate closely with our product and data engineering teams to identify trends, solve problems, and discover opportunities.

Requirements

• 6+ years of experience in one or more of the following: Data Analysis and Exploration, statistical modeling, creating dashboards or reports, especially in the context of researching new business verticals or client segments. • 4+ years of experience as a Data Scientist • Proficiency in various machine learning techniques (e.g. DNN, random forest, gradient boosted trees, k-means clustering, XGBoost, Embeddings) • Familiarity with tools commonly used in ML practices (e.g. TensorFlow, Keras, Scikit-learn, Pandas, Jupyter Notebook) • Proficient scripting and programming skills in Python. • Proficiency in experimental design, hypothesis testing, and diverse statistical analysis techniques like regression or linear models is a prerequisite, requiring robust knowledge and hands-on experience. • Strong problem-solving abilities, adept at articulating product inquiries, extracting insights from large datasets, and using statistics to make informed recommendations • Demonstrated capacity to take full ownership of projects from start to finish, showcasing initiative and creativity beyond mere task completion. • Exhibited leadership and self-driven initiative, coupled with a willingness to both mentor others and embrace novel learning methodologies.