Data Scientist

Bigabid is an innovative technology company led by data scientists and engineers devoted to mobile app growth. Our proprietary ad platform is powered by machine learning and is constantly improving its distribution algorithms.

We deliver valuable results and insights for a fast-growing clientele of major app developers using elite programmatic user acquisition and retargeting technologies.

Our ever evolving, state-of-the-art machine learning technology analyzes tens of TB of raw data per day to produce millions of ad recommendations in real-time. This data is used to power machine Learning predictions, business critical metrics, and analytics used to power our decision making process.

We are seeking a Senior Data Scientist who thrives on exploring complex data sets, extracting meaningful insights, and building high-quality, real-time data products to enhance our cutting-edge technologies. At Bigabid, we value talent and collaboration, fostering an environment where employees support one another to grow both individually and as a team. Our work is rewarding, challenging, and fun – all while exceeding our clients’ expectations.

Responsibilities:

Deliver end-to-end machine learning models and impactful research.
Play a critical role in model development, prototyping, offline validation, production implementation, and online testing of our suite of ML products
Analyze vast and complex data sets to identify meaningful patterns and engineer features for ML models.
Design, build, tune, and interpret ML models by applying the scientific method and leveraging cutting-edge techniques.
Perform data manipulation, cleaning, validation, and cross-domain research to enrich insights and solutions.
Generate creative research ideas and actionable insights to address challenging business and technical problems.
Collaborate with product managers and engineering teams to align on problem definitions, trends, and solution opportunities.

Requirements:

At least 3 years of proven experience in data science or machine learning, with a proven track record of delivering production-grade ML solutions.
Proficiency in Python and commonly used libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
Strong knowledge of SQL and experience with querying large datasets.
Familiarity with data pipelines, ETL processes, and data QA.
Strong analytical skills with the ability to translate complex data challenges into actionable solutions.
Deep understanding of ML algorithms and techniques.
Experience in feature engineering, model evaluation, and hyperparameter tuning.
Team player, problem-solver, responsible, delivery-oriented.
Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related field.

Excerpt:

For data scientist who is passionate about exploring complex data sets, drawing meaningful insights, and building real-time data products all the way to production.