Data Scientist Senior Associate
At CLA we create inspired careers.
We recognize that not everyone wants to grow their career paths in the same way. That's why CLA exists to create opportunities. We promise to know you and help you.
CLA, a top 10 public accounting and professional services firm is currently hiring a Data Scientist SeniorAssociate to join our growing Digital Transformation practice. This role can sit in our Greenwood Village, CO or Indianapolis, IN offices.
The Data Scientist Senior thrives when constructing complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping, and SQL/no-SQL databases. It is not uncommon for our Data Scientists to automate business workflows while integrating stochastic/numeric algorithms in the process. Creating and modifying predictive algorithms to uncover and answer business questions makes us tick. Our products are usually delivered as a scheduled deployment, markdown report, dashboard, shiny application, or API. In contrast to an Associate, the Senior will develop more autonomy to develop solutions and may lead others, take on administrative tasks, perform support roles, and get involved in new business development.
Your experience includes:
- Two to five years of experience in data analytics, statistics, data science, financial consulting, computer science or related field required.
- Bachelor's degree in field of Statistics, Data Science (e.g., Informatics, Data Science, Health Data Science), Computer Science, Economics, Analytics, or Data Science (e.g., Informatics, Data Science, Health Data Science) required. Master's degree preferred.
* Knowledge of and/or Experience* using Microsoft applications including
Excel (2016) and expertise in data science and statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets. Experience* working with and creating data architectures or schemas. Knowledge of a variety of machine learning techniques (regression modeling, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
*Practical experience beyond education required
As a Senior Associate you will:
- Understand the domain specific nature of data being collected/analyzed and how data may be utilized to satisfy project objectives
- Identify potential data sources that may be useful to harness for analysis
- Identify disparate data sources to harmonize and deliver integrated solutions
- Develop service and industry specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training
- Transform/wrangle data using dplyr, pandas, or other packages/languages
- Experience with a variety of machine learning models and dimension reduction techniques including but not limited to: linear/logistic regression and other generalized linear models, tree based methods such as CARTs, random forests, boosting, SVMs, penalized methods such as ridge and LASSO (elastic nets), PCA, t-SNE, clustering methods, and other methods that can be applied to create predictive or inferential/descriptive models
- Ability to code in R, Python, SQL, and other TBD languages
- Employ and/or modify existing statistical methodology to solve data problems
- Engineer or derive new features for increased accuracy of future predictions from a trained ML model
- Comfortable with version control (git) in local and remote setting (GitHub/Azure DevOps) and working as a team developing large software solutions
- Write unit tests to assure reliability and accuracy of software results
- Create exploratory and descriptive analyses using Jupyter, RMarkdown, or similar technology
Compensation strategy statement
Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view compensation as an investment in our people. Factors such as geography, experience, education, skills, and knowledge may impact position of pay within the range. These same factors may cause starting pay to be below or above the posted range. For Colorado, the range for this position is $65,000 to $85,000.
CLA exists to create opportunities for our people, our clients, and our communities. We are a proud equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity/expression, disability status, protected veteran status, national origin, or any other characteristic protected by law.
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CLA is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, disability status, protected veteran status, national origin, or any other characteristic protected by law.
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