This individual contributor position will be a member of a high-performing technology team that leads the firm in data services and data science by producing innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Specifically, this position will be utilizing advanced analytics, statistics and advanced mathematics, data science and machine learning, programming, data modeling and simulation to identify opportunities, pose business questions and make valuable discoveries that give our business and products a competitive advantage. It includes understanding and managing the data, how it interconnects, and architecting data for self-serve BI and BA opportunities. This position is for a candidate who is business savvy and an expert in data analytics/data science and enjoys framing a problem, shaping and creating solutions, and helping to champion implementation.

PRIMARY DUTIES AND RESPONSIBILITIES

  • Identify and prioritize business use cases. Understand the business and strategy and work with business leaders to identify and prioritize problems that advanced analytics are suited to solve and effectively communicate these ideas to senior management (i.e., translate business problems into advanced analytics/data science projects and lead in quantifying the various types of risk and rewards that allow these projects to be prioritized).
  • Thought partner to stakeholders by understanding the business needs through a deep knowledge of business operations, the key strategic objectives of our stakeholders, and what stakeholders need to achieve those strategic objectives. Seen by the stakeholder as an extension of their team and brought in for strategic and operational conversations.
  • Operationalize data and analytic products while also making sure they continue to deliver value. Be able to tell the story of how data and analytics are positively impacting stakeholders. Work closely with the business to achieve real value through informed decisions and improved actions.
  • Give direction and insight on all data analytics large initiatives/epics/areas of focus.
  • Build end-to-end advanced analytics. Work with vast amounts of data from multiple sources to develop/refine/improve predictive models using advanced Python, NLP, ML, AI, IDP and statistical analysis methods such as classification, time-series analysis, regression, statistical inference and recommendation systems.
  • Collect and prepare data. Help identify the business data needed to produce the most useful insights and future analytics, including business lines and possible outside sources of data. Ensure alignment on short-term delivery goals and long-term data and analytic roadmaps with clear articulation of expected value and how the work is to be prioritized.
  • Validate business implications. Synthesize analytics-derived insights into easy-to-understand, actionable recommendations that business users can easily understand. Ensure that the insights generated through sophisticated analytics translate to help drive revenue and cost-effective scaling.
  • Stay abreast of the latest developments and advancements and how they could impact the firm regarding classification models, recommendation engines or natural language processing.

EDUCATION AND EXPERIENCE REQUIREMENTS

  • Bachelor’s degree in business, IT, mathematics, statistics or relevant degree program.
  • Preferred Experience: 10+ years in data analytics, 3+ years in DS AI and ML development.
  • Expertise in solution design, problem framing, design thinking, analytics techniques and building solutions.
  • Skilled at communicating with a variety of methods including written business cases, data visualizations and infographics.
  • Demonstrated technical excellence in BI, reporting and analytics tools, analytic solutions (e.g. Power BI, Tableau, R), data visualization, data analytics processing, Python, SQL, AI, and ML.
  • Experience with the techniques and technologies of data science, along with a comprehensive understanding of the challenges associated with each (e.g., overfitting, model refresh, the challenge of acquiring training data, cost of computing, etc.).
  • Demonstrated communication and influencing skills with business and technical leaders. A talent for boiling complex ideas down to clear, practical choices. Track record of delivering multiple projects with tangible impact.
  • Extensive experience leading large complex projects, including strategic and tactical planning and implementation, analysis, design, technology selection and deployment.
  • Results-driven, the ideal candidate sets aggressive goals and is accountable for continuously driving improved outcomes, leading change and ensuring high standards.
  • Storytelling: communicates complex ideas in a way that is digestible to a broad audience and leads to decision and action.
  • Track record of developing and implementing innovative, highly-available, scalable and secure enterprise data and analytic deployments to meet current and future business needs.
  • Expertise in statistical learning, such as supervised, unsupervised, and weakly supervised learning, particularly in NLP contexts.
  • Expertise in Python programming, regular expressions, version control, standard Python packages (e.g., pandas, NumPy, Matplotlib), and at least one machine learning framework (e.g., PyTorch, TensorFlow, Scikit-Learn).
  • Experience with deploying and productionizing machine learning models on cloud or high-performance computing environments (e.g., AWS, Azure) and using CI/CD frameworks.
  • Expertise with Agile.
  • Expertise in implementing ML best practices for the entire Data Science lifecycle.
  • Proficiency with Machine Learning concepts and modeling techniques to solve problems such as clustering, classification, regression, neural networks, anomaly detection, simulation and optimization problems on large-scale data sets and their real-world advantages/drawbacks.
  • Experience with health care industry data, including hospital quality scores, claims data, medical coding, EMR, billing and reimbursement data in addition to compensation data is preferred.

BEHAVIORAL ATTRIBUTES

  • Passionate about helping organizations drive their success utilizing data.
  • Skilled storyteller with a passion for data, you will analyze and evaluate data to create innovative advanced analytics to provide the business with a competitive edge.
  • Inquisitive with a desire to ask questions and get a deeper understanding of issues (e.g., business and data).
  • Innovative with the ability to imagine new analytical solutions to any problem.
  • Confident, with the ability to challenge perceptions and biases of individuals at every level of the organization to enact improvements.
  • Ability to communicate with both technical and non-technical people. Passionate about helping others grasp and understand technical concepts using accessible language.
  • Business-oriented, with a solid understanding of business requirements and jargon.
  • Adjusts communication style and approach based on the intended audience (i.e., highly detailed where and when needed, but also able to be concise).
  • Intellectual curiosity, with the desire to stay abreast of current and upcoming technologies and tools.
  • Strongly self-motivated with a keen eye for detail. A natural desire to learn and innovate with like-minded colleagues.
  • Action-oriented, with the ability to deliver outstanding results through task prioritization and time management.

Applicants for employment must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).

SullivanCotter is an Equal Opportunity Employer/Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law or marital status.

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