Data Scientist

SmartSense by Digi
Mishawaka, IN Full Time
POSTED ON 10/18/2022 CLOSED ON 1/10/2023

What are the responsibilities and job description for the Data Scientist position at SmartSense by Digi?

Join a high-performing, tight-knit team as a Data Scientist at a fast-growing company that is using the Internet of Things (IoT) to transform how organizations sense, monitor, and make decisions. Founded out of MIT in 2005, SmartSense is trusted by more than 2,000 organizations, including Walmart, SpaceX, Apple, CVS Health, Coca-Cola, and the US State Department to help them make sensor-driven decisions. We have a solution that our customers rely on every day to make mission critical decisions. We are looking for team-oriented change agents to help shape the future of IoT.   Members of the Data Services team are passionate about data products and, above all, advanced analytics that will delight our customers.  We are inspired by data opportunities for prescriptive analytics and in building and delivering tools, infrastructure, frameworks that provide data insights, models, predictions, and prescriptions that increase the value of our data to our customers.    In this Data Scientist role, you will be a key hands-on contributor on the data services team. Our data science efforts will digest the entire breadth of our data topology from raw data ingestions to cold storage enabling our machine learning capabilities with training data from our vast repository of telemetry.  As a data scientist you will discover new patterns, identify actionable insights and extract, qualify, and refine large data sets that enable customers decision making on our IoT platform.  You will be instrumental in delivering high value proprietary analytic capabilities to our customers.   This is an exciting opportunity for a Data Scientist ready to make an impact on this business by advancing data maturity with analytics at SmartSense creating predictive data products. Work with our team and envision a future of prescriptive analytics.  Join us on our data journey today.   Core technologies: R, Python, SQL, Git, ODBC, HTTP, AWS     Core qualifications: - MS/PhD in a scientific field or equivalent experience preferred - 3 years in data science in machine learnings solutions contexts - 3 years preparing models, optimization techniques and applying them in pragmatic ways to solve business problems  - Fluent in two or more data programming languages; Python, R, Julia, Scala, Java, Go - Demonstrable experience with SQL and proponent of Agile methodologies, particularly SCRUM - Demonstrable data wrangling skills with big data and exploring new data sets for training models - Demonstrable experience with regression, clustering, and classification algorithms - Values code simplicity and performance and demonstrates an eagerness to learn - Wants to work in a fast, high growth environment that respects its engineers and customers - Familiarity with the core big data architectures, Data Lakes, Warehouses, streaming platforms, and machine learning. Preferred Qualifications: - Demonstrable experience with Python and handling data contexts of Telemetry/IoT Data - Expertise with Spark and/or Hadoop, NoSQL and Timeseries databases - 4 year’s working in the data science field, applying statistical data analysis to real-world problems - 5 years with data transformation and analysis tools and languages including SQL and Python SmartSense by Digi is proud to be an equal-opportunity workplace dedicated to pursuing and hiring a diverse workforce. Women and minorities are encouraged to apply. Digi International offers a distinctive Total Rewards package including new hire stock award, paid parental leave, open (uncapped) PTO, and hybrid work environment in addition to our competitive medical, health & wellbeing and compensation offerings. Note: The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, abilities, and skills required of personnel so classified.

Salary : $93,500 - $118,000

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