West Monroe
Data Scientist
role at
West Monroe West Monroe is seeking a talented Data Scientist to join our Data Engineering & Analytics team. In this role, you will collaborate with our clients to address their most complex needs, working alongside a team of highly skilled data engineers and architects. Responsibilities
Apply statistical techniques like regression, properties of distributions, and statistical tests to analyze data. Utilize machine learning techniques such as clustering, decision tree learning, and artificial neural networks to streamline data analysis. Develop advanced algorithms and statistical models using regression, simulation, scenario analysis, and modeling. Explain complex models (e.g., RandomForest, XGBoost) in a manner accessible to non-technical stakeholders. Visualize and present data insights using tools such as Power BI, ggplot, and matplotlib. Mine company databases to uncover critical business insights and communicate findings to relevant teams. Create efficient and reusable code for data improvement, manipulation, and analysis. Manage project codebase using Git version control. Develop scalable processes, tools, and dashboards for central use. Build strong collaborative partnerships with key stakeholders and cross-functional teams across the organization, including leading task forces on major initiatives. Qualifications
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related technical field. 2+ years of relevant experience in data science and analytics. Experience with NLP and Computer Vision tools and libraries, such as OpenCV, spaCy, Transformers, and Attention models. Familiarity with project management tools like Jira. Experience with web services such as Databricks, Spark, Oracle Cloud, and/or Azure. Proficiency in at least one version control tool, such as Git. Proficiency in programming languages such as Python and/or R. Proficiency in big data packages such as PySpark and/or SparkR. Proficiency in data cleaning packages including Python: pandas, numpy; R: dplyr, stringr, lubridate. Proficiency in machine learning packages including Python: mlflow, scikit-learn, pyspark.ml; R: mlflow, caret, sparklyr/ml_*. Experience with statistical and data mining techniques such as GLM/regression, random forests, boosting, text mining, and social network analysis. Competence with relational databases, including SQL and/or NoSQL. Coding and scripting experience with familiarity in visualization tools like Power BI. Ability to collaborate and communicate complex technical concepts to a broad audience. Ability to travel 30 to 50% to client sites. Hybrid role: 1 to 2 days a week in office. Based on pay transparency guidelines, the salary range for this role can vary based on geography. Information on our competitive total rewards package, including bonus structure and benefits, is here. Individual salaries are determined by evaluating various factors including geography, experience, skills, education, and internal equity. West Monroe is an Equal Employment Opportunity Employer. We believe in treating each employee and applicant fairly and with dignity, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by law. To learn more about diversity, equity and inclusion at West Monroe, visit our inclusion page. If you require a reasonable accommodation to participate in our recruiting process, please email recruiting@westmonroe.com. Please review our current policy regarding the use of generative artificial intelligence during the application process. If you are based in California, please review West Monroe’s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act.
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role at
West Monroe West Monroe is seeking a talented Data Scientist to join our Data Engineering & Analytics team. In this role, you will collaborate with our clients to address their most complex needs, working alongside a team of highly skilled data engineers and architects. Responsibilities
Apply statistical techniques like regression, properties of distributions, and statistical tests to analyze data. Utilize machine learning techniques such as clustering, decision tree learning, and artificial neural networks to streamline data analysis. Develop advanced algorithms and statistical models using regression, simulation, scenario analysis, and modeling. Explain complex models (e.g., RandomForest, XGBoost) in a manner accessible to non-technical stakeholders. Visualize and present data insights using tools such as Power BI, ggplot, and matplotlib. Mine company databases to uncover critical business insights and communicate findings to relevant teams. Create efficient and reusable code for data improvement, manipulation, and analysis. Manage project codebase using Git version control. Develop scalable processes, tools, and dashboards for central use. Build strong collaborative partnerships with key stakeholders and cross-functional teams across the organization, including leading task forces on major initiatives. Qualifications
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related technical field. 2+ years of relevant experience in data science and analytics. Experience with NLP and Computer Vision tools and libraries, such as OpenCV, spaCy, Transformers, and Attention models. Familiarity with project management tools like Jira. Experience with web services such as Databricks, Spark, Oracle Cloud, and/or Azure. Proficiency in at least one version control tool, such as Git. Proficiency in programming languages such as Python and/or R. Proficiency in big data packages such as PySpark and/or SparkR. Proficiency in data cleaning packages including Python: pandas, numpy; R: dplyr, stringr, lubridate. Proficiency in machine learning packages including Python: mlflow, scikit-learn, pyspark.ml; R: mlflow, caret, sparklyr/ml_*. Experience with statistical and data mining techniques such as GLM/regression, random forests, boosting, text mining, and social network analysis. Competence with relational databases, including SQL and/or NoSQL. Coding and scripting experience with familiarity in visualization tools like Power BI. Ability to collaborate and communicate complex technical concepts to a broad audience. Ability to travel 30 to 50% to client sites. Hybrid role: 1 to 2 days a week in office. Based on pay transparency guidelines, the salary range for this role can vary based on geography. Information on our competitive total rewards package, including bonus structure and benefits, is here. Individual salaries are determined by evaluating various factors including geography, experience, skills, education, and internal equity. West Monroe is an Equal Employment Opportunity Employer. We believe in treating each employee and applicant fairly and with dignity, without regard to race, color, national origin, sex, sexual orientation, gender identity, marital status, age, religion, disability, veteran status, or any other characteristic prohibited by law. To learn more about diversity, equity and inclusion at West Monroe, visit our inclusion page. If you require a reasonable accommodation to participate in our recruiting process, please email recruiting@westmonroe.com. Please review our current policy regarding the use of generative artificial intelligence during the application process. If you are based in California, please review West Monroe’s Notice at Collection for California residents, provided pursuant to the California Consumer Privacy Act.
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