Position: Data Scientist
Company: WiFi Map
Experience required: 2y
English level: intermediate

Job Description

- You will use machine learning, clustering, statistical modeling, and other advanced techniques to infer connections from petabytes of data
- Employ predictive modeling, data mining, graph algorithms, and other data science techniques to contribute to and enhance our cross-device identity resolution portfolio
- Design experiments and apply appropriate metrics to measure the impact of the developed models lead projects from ideation through research and development to productization
- Partner with other data scientists and engineers to turn various machine learning, clustering, and statistical solutions into viable and scalable products
- Collaborate with product managers and business partners to understand market needs and identify new opportunities for WiFi Map
Technologies we use at WiFi Map (don’t worry, we’ll teach you):
- Python, SQL
- Spark, SparkML, AutoML, SciKit Learn, BigQuery ML, Airflow, etc.
- Google Cloud Platform (GCP), BigQuery
We are looking for candidates who meet some of the following qualifications:
- 2+ years of experience as a Data Scientist, specifically in applying Machine Learning techniques, advanced analytics, and statistical modeling
- Experience in productionalization of Machine Learning research results, and ML project lifecycle management
- Proven track record of leading projects from ideation through the solution to implementation

Bonus Experience:
- Experience using cloud computing technologies
- Experience working with large data sets using SQL, Spark, Hadoop, or MapReduce Understanding of programming concepts and experience with programming languages, such as Python, R, Java, Scala, MATLAB
- Strong communication skills both verbal and written
- Experience in working on large-scale, distributed system environment(s)
- Experience with MLflow