Why Ryan?

Hybrid Work Options

Award-Winning Culture

Generous Personal Time Off (PTO) Benefits

14-Weeks of 100% Paid Leave for New Parents (Adoption Included)

Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement

Benefits Eligibility Effective Day One

401K with Employer Match

Tuition Reimbursement After One Year of Service

Fertility Assistance Program

Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service

Under the supervision of the Manager, Data Science, the Data Scientist is responsible for the implementation of technical solutions for the identification of complex patterns in large, high-dimensional/high-frequency data sets. This role requires an enterprise mindset to build out robust, high-performance technology solutions.

Duties and Responsibilities, aligned with Key Results:

People

Use a variety of leading-edge AI/ML tools to develop, test, and maintain data pipelines within the Platform Reference Architecture.Maintain a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers and supervisorsEngage with colleagues by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performanceFoster an innovative, inclusive and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions

Client

Collaborating on an Agile team to design, develop, test, implement and support highly scalable AI/ML solutionsAnalyzing user feedback and activity and iterating to improve the services and user experience

Value

Support the team by staying current on the latest research, experimenting with new technologies, and sharing that knowledge internally.Strictly comply with all information and data security policies, best practices and requirements.Create and implement robust cloud-based data solutions that scale effectively, and provide powerful experiences for both internal teams and clientsPerform unit tests and conduct reviews with other team members to make sure solutions and code are rigorously designed, elegantly coded and effectively tuned for performancePerform other duties as assigned

Education and Experience:

Bachelor’s and/or master’s degree in a related field3+ years of experience developing applications leveraging cloud-based data services, preferably in AWS or Azure.3+ years of experience developing enterprise machine learning, analytics, or machine learning/data science solutions.3+ years of experience in mixed Windows/Linux environments.3+ years of developing and overseeing the development of C, Python, Scala or Java solutions.

Additional Required Skills and Experience:

Results-proven track record of exceeding goals and evidence of the ability to consistently make good decisions through a combination of analysis, experience and judgmentKnowledge of one or more AI/ML domains and associated open source libraries, including natural language processing (NLTK) or image recognition (OpenCV).Knowledge of one or more Machine Learning/Deep Learning frameworks, including Keras, PyTorch, Caffe, Scikit-Learn or Tensorflow.Exposure to common optimization algorithms and the approaches to tuning and evaluating such algorithms.Fluency in Python.Exposure to one or more database platforms, preferably cloud-based.Exposure to at least one AI/ML pipeline technology or platform.Experience deploying, monitoring, and maintaining data pipelines in production environmentsDesign models of data processing that implement the intended business modelDevelop diagrams representing key data entities and their relationshipsGenerate a list of components needed to build the designed systemCommunicate clearly, simply, and effectivelyCommitment to diversity, accountability, transparency, and ethics.

Computer Skills:

To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research.

Supervisory Responsibilities:

None

Work Environment:

Standard indoor working environment.Occasional long periods of sitting while working at computer.Must be able to lift, carry, push or pull up to 30 lbs.Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary.Independent travel requirement: As Needed

Compensation:

For Dallas based roles, the base salary hiring range for this position is $101,000.00 - $142,000.00

#DICE

Equal Opportunity Employer: disability/veteran