Precisely | Jobs | Principal Software Engineer, Data Science | BigDataKB.com | 12-02-22

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Job Location: Noida

Overview:

Precisely is a global leader in data integrity, providing accuracy and consistency in data for 12,000 customers in more than 100 countries, including 90 percent of the Fortune 100. Preciselyโ€™s data integration, data quality, location intelligence, and data enrichment products power better business decisions to create better outcomes. We are looking for talented individuals with the experience and motivation to join our innovative, fast-paced Precisely Team.

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:


You Will:
  • 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 โ€œfail fastโ€ by quickly providing POCs that demonstrate value.

Qualifications:


You Have:
  • 8-12 yearsโ€™ 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.

Preferred Requirements:
  • 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.

Apply Here

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