West Monroe is seeking a Data Scientist to collaborate with clients and address their most complex needs by applying statistical techniques, machine learning, and advanced algorithms to analyze data, uncover business insights, and develop scalable solutions.
Requirements
- Experience with NLP and Computer Vision tools and libraries, such as OpenCV, spaCy, Transformers, and Attention models.
- 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: Python: pandas, numpy, re; R: dplyr, stringr, lubridate
- Proficiency in machine learning packages: Python: mlflow, scikit-learn, pyspark.ml; R: mlflow, caret, sparklyr/ml_
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 that is 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 effectively communicate findings to relevant teams.
- Create efficient and reusable code for data improvement, manipulation, and analysis.
Other
- 2+ years of relevant experience in data science and analytics.
- Familiarity with project management tools like Jira.
- Ability to effectively collaborate and communicate complex technical concepts to a broad variety of audiences.
- Ability to travel 30 to 50% to client sites
- Hybrid role: 1 to 2 days a week in office
