Job Summary:In addition to the responsibilities listed below, this position is also responsible for solving complex client analytics problems; leading the development of experimental design approaches; defining validity of information, how long information is meaningful, and relation to other information; working with data steward to ensure information is in compliance with regulatory and security policies; and qualifying where information can be stored or what information may be used in support of the use case.This position is also responsible for utilizing patterns and variations in the volume, speed and other characteristics of data supporting an initiative, data type, and speed or sudden variations in data collection; developing usage and access control policies and systems in collaboration with the data steward; partnering with data stewards in continuous improvement processes impacting data quality to define data quality expectation for specific use case; ensuring the organization understands principles and math behind the process; and leading on-going tracking and monitoring of performance of decision systems and statistical models.Essential Responsibilities:Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; communicating information and providing advice to drive projects forward; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership; influencing, mentoring, and coaching team members; fostering open dialogue amongst team members; evaluating and responding to the strengths and weaknesses of self and unit members; and adapting to and learning from change, difficulties, and feedback.Drives the execution of multiple work streams by identifying customer and operational needs; developing and updating new procedures and policies; gaining cross-functional support for objectives and priorities; translating business strategy into actionable business requirements; obtaining and distributing resources; setting standards and measuring progress; removing obstacles that impact performance; guiding performance and developing contingency plans accordingly; solving highly complex issues; and influencing the completion of project tasks by others.Leads data and information collection on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across internal and external sources; leading routine data refresh and update; leading the development and/or delivery of highly complex tools for electronic data collection; and providing senior-level user training, support, and documentation.Leads data preparation for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data; partnering with stakeholders and source system owners to identify root causes and resolve data quality issues as appropriate; and cleaning and creating final data set(s) for analysis.Leads and drives the execution of creative data analytic approaches leading to actionable outcomes across functional areas, business and/or clinical lines by reviewing data design and analysis of more junior employees; defining and calculating complex metrics to be analyzed; defining, calculating, and validating algorithms; leading and conducting complex analyses, including inferential and/or predictive statistics.Leads the design, roadmap development, implementation, and automation of business and reporting solutions by partnering with key stakeholders to advise in their design, planning, and implementation while ensuring consistency and coherency; reviewing data and results; designing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; reporting to stakeholders on key findings; identifying needs for the development and implementation of additional reporting solutions; and ensuring completion of documentation as appropriate.Leads highly complex data analysis interpretation by providing support to team on data interpretation; applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making;  leading peer reviews; providing context related to data interpretations and/or limitations as appropriate; and sharing insights with internal and/or external subject matter experts.Consults and provides expertise on the development of advanced analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; translating models and gaining stakeholder buy-in for implementation; providing support in the creation of models leading to actionable insights; and testing, refining, and validating models.Drives and leads strategic data-informed decisions by consulting with senior-level clients and executive leadership to identify and clarify key business needs across functional areas, business and/or clinical lines; leading the development of outcomes and process measures; translating complex business requirements; determining data/information needs and data collection methods; leading and guiding the development of complex analysis plans; evaluating the impact of business decisions on clients, customers, and/or members; building and leveraging partnerships with clients and staff to identify opportunities and methods to improve efficiencies with analysis; ensuring end-users are supported and trained; and reviewing documentation of processes and deliverables.Minimum Qualifications:Minimum seven (7) years programming experience.Minimum three (3) years experience working with data visualization tools.Minimum seven (7) years machine learning experience.Minimum seven (7) years statistical analysis and modeling experience.Minimum five (5) years experience in a leadership role with or without direct reports.Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum ten (10) years experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.Additional Requirements:Knowledge, Skills, and Abilities (KSAs): Negotiation; Business Planning; Written Communication; Data Extraction; Data Mining; Data Visualization Tools; Statistical Programming Language; Relational Database Management; Vendor Management; Project Management#J-18808-Ljbffr<p>by Jobble</p>

Job Summary:This individual contributor is primarily responsible for designing and developing data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats by transforming, cleansing, and storing data for consumption. This role is also responsible for developing detailed problem statements outlining hypotheses and their effect on target clients/customers, analyzing and investigating complex data sets and summarizing key characteristics, selecting, manipulating and transforming data into features used in machine learning algorithms, training statistical models, deploying and maintaining reliable and efficient models through production, verifying model performance, and collaborating with internal and external stakeholders across domains to develop and deliver statistical driven outcomes.Essential Responsibilities:Promotes learning in others by proactively providing and/or developing information, resources, advice, and expertise with coworkers and members; builds relationships with cross-functional/external stakeholders and customers. Listens to, seeks, and addresses performance feedback; proactively provides actionable feedback to others and to managers. Pursues self-development; creates and executes plans to capitalize on strengths and develop weaknesses; leads by influencing others through technical explanations and examples and provides options and recommendations. Adopts new responsibilities; adapts to and learns from change, challenges, and feedback; demonstrates flexibility in approaches to work; champions change and helps others adapt to new tasks and processes. Facilitates team collaboration to support a business outcome.Completes work assignments autonomously and supports business-specific projects by applying expertise in subject area and business knowledge to generate creative solutions; encourages team members to adapt to and follow all procedures and policies. Collaborates cross-functionally and/or externally to achieve effective business decisions; provides recommendations and solves complex problems; escalates high-priority issues or risks, as appropriate; monitors progress and results. Supports the development of work plans to meet business priorities and deadlines; identifies resources to accomplish priorities and deadlines. Identifies, speaks up, and capitalizes on improvement opportunities across teams; uses influence to guide others and engages stakeholders to achieve appropriate solutions.Develops detailed problem statements outlining hypotheses and their effect on target clients/customers by defining scope, objectives, outcome statements and metrics.Designs and develops data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats by transforming, cleansing, and storing data for consumption by downstream processes; writing and optimizing diverse SQL queries; and demonstrating advanced knowledge of database fundamentals.Analyzes and investigates complex data sets and summarizes key characteristics by employing data visualization methods; and determining how best to manipulate data sources to discover patterns, spot anomalies, test hypotheses, and/or check assumptions.Selects, manipulates, and transforms data into features used in machine learning algorithms by leveraging techniques to conduct dimensionality reduction, feature importance, and feature selection.Trains statistical models by using algorithms and data mining techniques; testing models with various algorithms to assess the input dataset and related features; and applying techniques to prevent overfitting such as cross-validation.Deploys and maintains reliable and efficient models through production.Verifies model performance by demonstrating expertise in the practice of a variety of model validation techniques to assess and discriminate the goodness of model fit; and leveraging feedback and output to manage and strengthen model performance.Collaborates with internal and external stakeholders across domains to develop and deliver statistical driven outcomes by delivering insights and values from heterogeneous data to investigate complex problems for multiple use cases; driving informed decision-making; and presenting findings to both technical and non-technical audiences.Minimum Qualifications:Minimum three (3) years experience working with Exploratory Data Analysis (EDA) and visualization methods.Minimum three (3) years machine learning and/or algorithmic experience.Minimum three (3) years statistical analysis and modeling experience.Minimum three (3) years programming experience.Minimum one (1) year experience in a leadership role with or without direct reports.Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field AND Minimum five (5) years experience in data science or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement. Advanced degrees may be substituted for the work experience requirements.Additional Requirements:Knowledge, Skills, and Abilities (KSAs): Advanced Quantitative Data Modeling; Algorithms; Applied Data Analysis; Data Extraction; Data Visualization Tools; Machine Learning; Relational Database Management; Microsoft Excel; Design Thinking; Business Intelligence Tools; Data Manipulation/Wrangling; Data Ensemble Techniques; Feature Analysis/Engineering; Open Source Languages & Tools; Model Optimization; Strategic Thinking; Deep Learning/Neural Networks; Project Management#J-18808-Ljbffr<p>by Jobble</p>

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