Position: Data Scientist (Python)
Company: StartupSoft
Category: Data Engineer
Experience required: 5y
English level: upper

**About project**
NoiseAware is a well-capitalized, high-growth IoT startup in Dallas that provides the world’s first privacy-safe noise monitoring service for Airbnb and vacation rental managers. We are a hardworking, talented, and fun group of highly driven individuals solving the largest livability issue in many cities across the world. We have customers in more than 40 states and 10 countries and we are expanding quickly

**Tech stack**
Python,  SQL

**Team composition**
Current team - 12 - 15 developers. The engineer will work within the engineering department and will report directly to the Sr. Director of Engineering

**Project stage**
In production

**Qualifications and skills**
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Knowledge of statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc.) and experience with applications
Experience using web services: Redis, S3, Spark, etc
Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc
Proven track record of working with engineers to deploy data processing schemes and algorithms in production at scale
Ability to formulate and efficiently test hypotheses related to desired business outcomes
Effective at clearly communicating concepts and results with data visualization

**Responsibilities**
Formulate and lead guided, multifaceted analytic studies against large volumes of data
Coordinate research and analytic activities utilizing various data points (unstructured and structured) and employs programming to clean, massage, and organize the data
Leads all data experiments tasked by the Research and Development team
Develop data models and processing schemes to apply to data sets
Coordinate with the software engineering team to implement models and monitor outcomes
Develop processes and tools to monitor and analyze model performance and data accuracy

**Why StartupSoft?**
Work with top entrepreneurs and startups from Silicon Valley and EU
Become an integral part of the core team — be more than someone who just writes code
Potential to receive equity in high-growth startups
Contribute to well-funded products with potential to impact millions
Beautiful offices in the best locations with high-end amenities
Tight-knit team with an inclusive and transparent culture
Only the latest, modern technologies with no legacy code and management bureaucracy
Above average salary, benefits & medical insurance