Insight Global
Remote Data Scientist Job at Insight Global in Dayton
Insight Global, Dayton, OH, United States
An Employer is seeking a remote Data Scientist to join their team. This person will be working on a large ecommerce project that is ongoing. They will be involved in the knowledge transfer from one group to another and their main responsibilities will include the following:
Integrates and extracts relevant information from large amounts of both structured and unstructured data to enable analytical solutions
Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights or develop analytical solutions to achieve business objectives
Experience with data sourcing, data cleansing, and data preparation
Mastery with the Python programming language and significant experience using Pythons data analysis and machine learning libraries such as pandas, numpy, scipy, scikit-learn, gensim, and spaCy
Develops and implements new research objectives, establishes project priorities, defines methods of approach, executes the study, and provides scientific conclusions
Presents data insights and recommendations to key stakeholders
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Required Skills & Experience
5-10 years of experience as a Data Scientist
Machine Learning
Azure
Databricks - understanding how to migrate from R/Shiny to Databricks
Pyspark or Spark SQL
Retail experience - working with paid media models and email models
Masters Degree in relevant field
Nice to Have Skills & Experience
Collaborative coding experience and competency with Git
Experience integrating Machine Learning applications into production pipelines as well as monitoring and retraining models
Experience with Big Data concepts, tools, and architecture (data warehousing, data lakes, etc.) such as Hadoop, Hive, Pig, Hue, MongoDB, etc.
Experience with deep learning frameworks like Pytorch, Tensorflow, caffe, caffe2, h2o or any other machine learning
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
Integrates and extracts relevant information from large amounts of both structured and unstructured data to enable analytical solutions
Conducts advanced analytics leveraging predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights or develop analytical solutions to achieve business objectives
Experience with data sourcing, data cleansing, and data preparation
Mastery with the Python programming language and significant experience using Pythons data analysis and machine learning libraries such as pandas, numpy, scipy, scikit-learn, gensim, and spaCy
Develops and implements new research objectives, establishes project priorities, defines methods of approach, executes the study, and provides scientific conclusions
Presents data insights and recommendations to key stakeholders
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .
Required Skills & Experience
5-10 years of experience as a Data Scientist
Machine Learning
Azure
Databricks - understanding how to migrate from R/Shiny to Databricks
Pyspark or Spark SQL
Retail experience - working with paid media models and email models
Masters Degree in relevant field
Nice to Have Skills & Experience
Collaborative coding experience and competency with Git
Experience integrating Machine Learning applications into production pipelines as well as monitoring and retraining models
Experience with Big Data concepts, tools, and architecture (data warehousing, data lakes, etc.) such as Hadoop, Hive, Pig, Hue, MongoDB, etc.
Experience with deep learning frameworks like Pytorch, Tensorflow, caffe, caffe2, h2o or any other machine learning
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.