Lead Data Scientist

Job not on LinkedIn

🕒 April 1

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Demandbase

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🤝 B2B

☁️ SaaS

💰 $65M Series H on 2017-05

B2B • Advertising • SaaS

Demandbase is a leading company specializing in account-based marketing (ABM) solutions for B2B enterprises. Leveraging data and AI-powered insights, Demandbase One™ accelerates marketing, advertising, and sales strategies by identifying and targeting the right customers at the right time with the right message. Their robust platform integrates with existing tech stacks to unify sales and marketing efforts through seamless data flow and actionable insights, enhancing conversion rates, revenue growth, and pipeline velocity. Demandbase serves a variety of industries with tailored solutions and is committed to transparency, data trust, and delivering measurable results for revenue teams.

📋 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

• 5+ years of experience • 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 • Interest in working in tech domain e.g. data center analytics, understanding of macro factors in market for computing, software and cloud adoptions

🏖️ Benefits

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