Position: Senior/Lead Data Scientist
Company: AgileEngine
Category: Data Science
Experience required: 3y
English level: upper
Published: 2020-09-01T00:00:00+03:00

As a Data Scientist, you will be responsible for discovering insights, identifying opportunities, solving complex problems using simple, pragmatic, and state-of-the-art solutions, and aggressively pushing your projects independently and cross-functionally. 

You will be a member of Central Data Science team that drives product innovation and is responsible for all ML/AI initiatives and projects. We build and apply ML models at every stage of the B2B buyer’s journey. Our Data Scientists apply cutting edge natural language processing algorithms and deep learning models to predict whether a company is interested in our clients product even before they visit their site. 

**What is required?**
- 4-6 years of data science experience
- Background in Statistics, Computer Science, Machine Learning, Mathematics, Computational Psychology, Operational Research, Physics or relevant field
- Driven more than one greenfield project from concept to production release
- Demonstrated experience leading teams and projects
- Demonstrated ability to write clean and performant code in Python
- Experience working with AI/ML technologies like TensorFlow, scikit-learn, Spark MLlib, Bigquery Machine Learning, and large-scale data sets and generating unique models and algorithms
- Proficiency with analytical and database tools (e.g. Jupyter notebooks, Hive, SQL, No-SQL)
- Strong background in classical machine learning and deep knowledge in a variety of techniques in feature selection, regression, classification, and clustering, and their real-world advantages and drawbacks
- Experience with Google Cloud and AWS is a plus
- Prior experience in Martech/Adtech space is a plus
- Knowledge or experience with continuous delivery for machine learning (CD2ML) framework is a plus

**What will you do:**
- Develop Machine Learning algorithms that optimize and make an immediate business impact on Targeting KPIs. 
- Build, test, and deploy custom ML/AI models and algorithms on large datasets, and develop processes for monitoring and analyzing their performance on production environments. 
- Communicate algorithms, complex data science methods, and statistical results with technical and non-technical audiences.
- Stay current with the latest technology/research and drive innovation.

**What about the project?**
Demandbase is the leader in Account-Based Marketing (ABM) and an indispensable part of the B2B tech stack. The company offers the only end-to-end ABM platform that helps B2B marketers identify, win and grow the accounts that matter most. The biggest and fastest growing companies in the world, such as Accenture, Adobe, DocuSign, GE, Salesforce and others rely on Demandbase to drive their ABM strategy and maximize their marketing performance. The company has been named to the JMP Securities list “The Hot 100: The Best Privately Held Software Companies,” the Deloitte Fast 500 and named a Gartner Cool Vendor for Tech Go-To Market.