• LogMeIn
  • $108,106.67 -202,650.00/year*
  • Boston , MA
  • Information Technology
  • Full-Time

Responsibilities Help identify business opportunities within our product portfolio. Work cross-functionally with engineers, product managers, and other data scientists to innovate on and improve our core products. Understanding the trade-off's among the various machine learning algorithms (existing and emerging) and make the right choice that serves the business objectives. Ensure operational and optimal execution in production of all data science routines and processes. Ability to manage competing priorities in a dynamic and fast paced business environment. Understand the current data sets and models and provide thought leadership by discovering new ways to enrich the data. Qualifications MS or PhD in quantitative discipline (Computer Science, Engineering, Math, Statistics, Economics or related fields). 4+ years hands-on experience in at least one modern advanced analytical programming language such as Python. Deep understanding and experience with Machine Learning techniques at scale and their tuning parameters (e.g. DNNs, clustering, classification, regression, decision trees, SVMs, anomaly detection, recommender systems, and NLP). Experience with large data sets and related technologies is a plus, e.g. Hive, AWS, and Spark / Databricks. Efficient SQL development skills writing complex queries, transforming data, and mining structured and unstructured data. Proven success using data science to build impactful product features. Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value. Excellent communication skills and a team player attitude. Experience working with engineers to demonstrate and prototype integrations with product environments. Comfortable applying agile methods of work to provide visibility and transparency into progress and surface blockers. The desire to have fun while doing all the above.Salary Range: NAMinimum Qualification5 - 7 years
Associated topics: data architect, data center, data engineer, data integration, data manager, data quality, data warehouse, hbase, mongo database, sql

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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