We are seeking a Principal Software Engineer, Data Science with experience designing and implementing Data and Machine Learning applications at scale. The right candidate will have a background in Data Science and will have worked with ML and Deep Learning algorithms and frameworks. You will work with a team of technically talented engineers to collect, analyze and interpret large data sets, using the data to help our clients solve challenging location-based business problems. If you are ready to make a difference with Precisely and for its customers and if you want to innovate to solve big business challenges, we want to talk to you.

Responsibilities:

• Use your skills and background in Data Science to Design and Implement Machine Learning based solutions.
• Provide technical leadership and guidance to other engineers.
• Innovate and bring ideas and possible solutions to Stakeholders and Product Team.
• Experiment and “fail fast” by quickly providing POCs that demonstrate value.

Qualifications:

• 8-12 years’ experience analyzing data and building statistical models.
• A degree in Statistics, Mathematics, Computer Science or related quantitative field.
• Familiarity with Open Source solutions in Artificial Intelligence, Machine Learning / Deep Learning technologies.
• Practical experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Knowledge of Machine Learning techniques such as clustering, decision tree learning, artificial neural networks, etc. and their real-world advantages / drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and have experience bringing these techniques to practical solutions.
• Experience in designing machine learning systems and artificial intelligence software to automate predictive models.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, PySpark, Gurobi, MySQL, etc.
• A desire and drive to learn and master new technologies and techniques.

• Experience visualizing / presenting data for stakeholders using Qlik, D3, ggplot, etc.
• Experience in OpenCV, Kera/PyTorch/Tensorflow.
• Experience with cloud-native development such as AWS, Azure, GCP, etc.
• Experience in geospatial domain: Geocoding, Address Validation, Spatial Analytics, Location Intelligence.