At Ascensus, technology is more than just a solution. It powers the business that helps millions of people save for what matters—retirement, education, and healthcare. Our technology experts tackle exciting challenges in collaborative teams, but work in an environment where individual and career development is always valued. Technology associates leverage their talents and passion, building new and innovative platforms, creating programs founded in automation in agile frameworks, and driving existing and new markets—all of which supports the rapid growth of a dynamic industry leader. Section 1: Position Summary The Senior Data Scientist will identify advanced analytic opportunities independently and effectively applying data mining and math principles capitalizing on available and new technologies to deliver predictive models, analytics insights, simulations and optimizations that drive measurable value. Section 2: Job Functions, Essential Duties and Responsibilities • Master technologies and data skills • Execute on advanced knowledge of analytics technologies to optimize results. Identify technology gaps and recommend solutions. • Display advanced knowledge of SQL and data models. Write SQL to optimize streams and support data modeling discussions. • Solve integration and performance challenges developing skills as needed and engaging others in solutions • Drive benefit thru influence and communication of advanced analytics results • Support data driven decisions recommending corrective action and improvements • Apply business and predictive modeling expertise to identify underlying trends • Prepare and deliver presentations detailing results and helping others understand analytics. Align presentations effectively to the audience. • Identify and recommend improvements to models, analytics, reporting and research • Manage and oversee consistent, controlled and quality development, versioning, storage and deployment of analytics effectively integrating with applications and data sources • Establish model schedules or invoke real time through workflow and other application integration • Solve integration challenges • Be an effective mentor and leader • Support quality and meaningful results thru training and review other’s analytics as well as ensuring personal deliverables are validated • Manage own and assigned team work output; delivering on priorities; setting and managing to delivery commitments; storing results • Follow and ensure others in team follow EIM data & delivery governance • Mentor and develop analytics team • Perform complex data analyses, segmentation and profiling of expansive data sources • Develop and maintain models effectively engaging business and data experts following established process and governance. • Validate that data sources meet requirements of the effort and outcomes • Analyze data quality identifying improvements and solutions for data gaps. • Develop extensive working knowledge of Ascensus data sources purpose, structure and definitions • Regularly use complex data and algorithms • Effectively execute CRISP-DM methodology directing project teams to capitalize on team expertise and optimize results including predictive model lift • Responsible for protecting, securing, and proper handling of all confidential data held by Ascensus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Ascensus or our clients. • Our I-Client service philosophy and our Core Values of People Matter, Quality First and Integrity Always® should be visible in your actions on a day to day basis showing your support of our organizational culture. • Assist with other tasks and projects as assigned Supervision • In some scenarios this role may include small team supervision requiring the candidate to balance their time to perform their above listed data scientist responsibilities alongside managing their entire team deliverables to successful and valuable outcomes and performing management responsibilities including the following: o Responsible for the design, mentorship and progress of the overall data science practice ensuring team members are effectively working and have the tools and technologies needed o Develop staff skills; encourage and reward areas of high aptitude and exceptional effort; coach on areas of improvement and identify o Support and provide feedback on development goals o Facilitate creativity and foster intellectual curiosity in your team and in how they work with others. o Manage staff; supporting needs including education, setting clear goals and objectives and leading by example. o Perform leadership tasks including performance reviews, time off and other administrative tasks Section 3: Experience, Skills, Knowledge Requirements • Advanced analytics: the ability to apply appropriate analytical techniques and translate findings into actionable business insights and recommendations. Identify and utilize best math principles and methods to achieve goals tapping into experience, knowledge and research • Database technologies: understanding of data warehousing concepts including displayed experience or knowledge of data mart and data definition practices that support quality and re-use, with the ability to write complex SQL statements to store, retrieve, manipulate, integrate, validate, and summarize data • Strong communications skills: both verbal and written, with the ability to explain complex concepts to non-technical audiences • A team orientation: strong interpersonal and collaboration skills, with the ability to network with internal business partners across the organization • Graduate degree in a field specifically aligned with data analytics. e.g. artificial intelligence, statistics or other • Bachelor’s degree in a quantitative or technical field, such as computer science, mathematics, engineering, or economics • Solid business acumen with the ability to quickly learn about Ascensus products, services, clients and business considerations. Ability to obtain valuable information and insight through dialog with SMEs. • Time Management/Prioritization – Ability to manage time and lead others to prioritize work to meet deadlines and deliver most valuable results first. Responsibility to manage own and others tasks as assigned along with resolving priority conflicts and collaborating to ensure common expectation understanding with clients. • Initiative/Work Ethic – Drives efforts to completion setting and managing personal goals. Proactively seeks out opportunities to ensure successful outcomes. • 6-8 years of experience displaying post academic understanding of how to utilize math principles and technologies to benefit business objectives Preferred: • A wide spectrum of database and statistic technology experiences demonstrating ability to learn new technologies and advise on best solutions We are proud to be an Equal Opportunity Employer _Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com_ _or @futureplan.com_ _email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website._ Ascensus provides equal employment opportunities to all associates and applicants for employment without regard to ancestry, race, color, religion, sex, (including pregnancy, childbirth, breastfeeding and/or related medical conditions), gender, gender identity, gender expression, national origin, age, physical or mental disability, medical condition (including cancer and genetic characteristics), marital status, military or veteran status, genetic information, sexual orientation, criminal conviction record or any other protected category in accordance with applicable federal, state, or local laws (“Protected Status”).