We are looking for a Lead Data Scientist to lead a technical data science team and help us tight together ML stack with production workflows.

Lead Data Scientist responsibilities include managing the data science team, planning projects and building analytical models. You should have a strong problem-solving ability and a knack for statistical analysis. If you’re also able to align our data products with our business goals, we’d like to meet you.


Requirements:

Analytical thinking and exploratory state of mind
Solid experience with high-loaded systems like Spark/Hadoop/Hive
A business mindset
Willingness to work with interesting, challenging and non-trivial tasks
Deep knowledge in: Probability Theory, Mathematical Statistics and Linear Algebra
Ability to work and create algorithms and data structures
Great experience in Python and SQL
Ability to process and analyze huge data volumes, ability to create and check hypothesis including data visualisation
Spark/Spark ML, Tensorflow, Keras, XGBoost
Would be a big plus: real production experience in Deep Learning

Responsibilities:

Manage a team of data scientists, machine learning engineers and big data specialists
Ensure data quality and integrity
Evangelize new technologies and embody data-driven culture
Design and implement ETL pipelines to support and scale models and analyses
Conceive, plan and prioritize data projects
Align data projects with organizational goals
Build analytic systems and predictive models
Hypothesis check by the means of different machine-learning algorithms
Create tasks for product developers

We offer:

Long lasting, interesting and challenging project
Reasonable internal customer
Excellent team
Full-time remote work with flexible hours or Full-time work in our office


If you are interested in our offer, please provide following information by responding here or via an email:

Which technologies / frameworks / skills you have

About Scalarr

Scalarr Inc. is an international mobile antifraud company founded in 2016. Our mission is to maximize the invested marketing dollars for mobile app developers and at the same time to decrease the worldwide app install fraud loss of $4.6B.


With our Machine Learning based anti-fraud solution we help mobile developers use data to drive efficient decisions on their user acquisition strategy and ensure their sustainable company growth. We combine business experience, expertise in large-scale data analysis and advanced software engineering know-how to combat even the most sophisticated fraud.

We are very proud to have among our clients trusted industry leaders like Yandex, Huuuge Games, Pixonic, Genesis, JOOM, GOODGAME Studios, Aviasales, and many others.

Scalarr won bronze for “Tech Start-up of the Year” in the 2018 International Business Awards® due to our innovative product and success in the market.

Company website: http://scalarr.io/

Job posted on 15 April 2019.

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