Lead Data Scientist

November 10, 2024

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Demandbase

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Demandbase is a leader in account-based marketing solutions for B2B enterprises. The company offers Demandbase One™, a platform that integrates data and AI-driven insights to enhance marketing, advertising, and sales strategies. Demandbase focuses on identifying and targeting the right customer accounts, providing personalized marketing experiences, and enabling revenue teams to collaborate effectively. It leverages advanced AI and machine learning to offer transparent and precise targeting solutions, allowing enterprises to optimize their go-to-market efforts and drive significant revenue growth.

marketing • account-based marketing • B2B marketing • B2B sales • company-targeted advertising

501 - 1000 employees

Founded 2010

🤝 B2B

🤖 Artificial Intelligence

💰 $175M Debt Financing on 2023-02

📋 Description

• Run CRISP-DM projects with a team of 3 data scientists in the following - • Selecting features, building and optimizing classifiers (logistic regression or RF based propensity models) and recommenders using machine learning techniques • Data mining using state-of-the-art methods - Automate scoring using machine learning techniques, build recommendation systems, improve and extend the features used by recommendation and propensity modeling algos, • Extending company’s data with third party sources of information when needed • Enhancing data collection procedures to include information that is relevant for building analytic systems • Processing, cleansing, and verifying the integrity of data used for analysis and perform deep EDA (we create our own training data for our models) • Doing ad-hoc analysis and presenting results in a clear manner • Creating recommended and propensity models and tracking of its performance especially to compensate for concept drift

🎯 Requirements

• Hands on machine learning techniques and algorithms, such as k-NN, Naive Bayes, Ensemble methods XGBoost, Decision Forests and working towards deep learning methods using TensorFlow especially for NLP like word embeddings and topic discovery • Hands with common data science toolkits, such as Python, scikit learn, numpy, pandas, plotly, TensorFlow, ElasticSearch, Auto-ML platforms like AWS Sagemaker • Solid proficiency in using query languages such as SQL, Experience with NoSQL databases, such as Elasticsearch and Graph DBs as Neo4j • Good understanding of applied statistics skills, such as distributions, statistical testing, regression and strong EDA skills • Data-oriented personality with strong sense of appreciating the business domain of your work e.g. • Interest in working in tech domain e.g. data center analytics, understanding of macro factors in market for computing, software and cloud adoptions • Experience of 5+ years

🏖️ Benefits

• Flexible Working hours • Entire Work From Home • Birthday Leave • Remote Work