Beacon Technologies is seeking a Senior Data Scientist for our client partner. 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.

Essential Job Functions:

• Service Specialization: Develop service specific knowledge through greater exposure to peers, internal experts, clients, regular self-study, and formal training opportunities. Gain exposure to a variety of client situations to develop business skills. Retain knowledge gained and performance feedback provided to transfer into future work. Approach all problems and projects with a high level of professionalism, objectivity and an open mind to new ideas and solutions.
• Data Analysis: Participate and take ownership in the collection, analysis, and automated collection of data using a variety of data tools. Together with the Data Analytics team, support the building and implementing of models, algorithms, and simulations supporting solutions for external clients and internal projects. Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Data Development: Working under the guidance of a variety of Data Analytics team members, gain exposure to developing custom data models and algorithms to apply to data sets. Execute predictive and inferential analytics, machine learning, and artificial intelligence techniques. Use existing processes and tools to monitor and analyze solution performance and accuracy and communicate findings to team members and end users.
• Collaboration: Work individually as well as in collaboration with others. Interaction with others will primarily be virtual with leadership and colleagues from other offices. Take on additional roles beyond technical development and client service that may include: serving as primary contact with clients or business leaders on internal projects, take on administrative tasks, perform support roles, and get involved in new business development.

Requirements:

• Experience - Two to five years of experience in data analytics, statistics, data science, financial consulting, computer science or related field.
• Education - 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.

Technical Competencies:

• 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.
• 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* Practical experience beyond education required.

Organizational Interfaces:

• Collaborate with both business and Information Technology (IT) colleagues on data projects. Takes direction from Directors, Managers, and Principals. The Data Scientist Senior will report directly to the managing principal of Outsourcing Data Analytics.
  Travel Requirements - This position requires <10% travel.

About Beacon Technologies

Are you looking to advance your career in information technology? Beacon Technologies offers career advancement opportunities, extensive training, and excellent benefits including paying for health and dental premiums for salaried employees. In addition to providing interesting opportunities, Beacon Technologies provides that old fashioned, personal touch, so you feel like a part of the Beacon team.

Beacon Technologies, Inc. is an equal employment opportunity employer with a functioning Affirmative Action Plan. It is the policy of Beacon Technologies, Inc. to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, ethnicity, ancestry, disability, medical condition, military and veteran status, or any other characteristic protected by law. Beacon Technologies, Inc. prohibits any such discrimination or harassment.