As a member of the Financial Risk Group (FRG) development team, you will be part of a team responsible for building and maintaining exciting new solutions for our clients. You will be working with a wide variety of software and technologies and interact with a diverse set of clients who represent multiple industries. In This Role You Will: Write and support complex and original software code in support of FRG's product offerings Perform unit tests on all processes Provide resolution to all data issues Validate all requirements Prepare all ETL processes according to business requirements Incorporate all business requirements into all design specifications Resolve data questions Participate in all aspects of product development including design, development, debugging, implementation, documentation and support Assist maintaining functional operation of assigned production systems Communicate status with project managers Learn to estimate task effort and time frames Trouble shoot and solve complex technical problems Develop and maintain client relationships Communicate effectively with clients to explain difficult business and technical concepts Perform other tasks as assigned Essential Skills: MS degree in the areas of Computer Science, Economics, Mathematics, Engineering, Sciences, or Finance, AND 1-3 years relevant experience. OR, a BS degree plus a minimum 3 years relevant experience SAS software experience SAS DI studio experience Pentaho experience SQL experience UNIX skills Data management techniques Data quality techniques Data analytics reporting Experience with data structures and design Ability to manage multiple concurrent assignments to meet deadlines Strong written communication, oral communication and presentation skills Demonstrated trouble shoot and technical problem solving Demonstrated software skills using software listed above Intermediate understanding of risk management concepts Excellent organizational skills

Company Doctors Without Borders/Médecins Sans Frontières (MSF) is an international humanitarian organization that delivers impartial medical care to people affected by conflict, epidemics, disasters, or exclusion from health care in over 70 countries.    We welcome candidates who bring a wide variety of backgrounds and experiences to join us in working toward MSF’s common mission. Department The Field Human Resources Department (Field HR) is responsible for recruitment, selection, placement, and retainment of qualified and well-suited field staff to meet the growing needs of MSF field operations. Project The People Analytics team aims to strengthen the analytical capabilities of Human Resources (HR) across MSF so that HR planning is more strategic, data-driven and evidence-based. Working across the movement, with internal and external stakeholders, we aim to ensure that data is being used effectively to help the organization answer key HR questions and deliver strategic value. The team is responsible for defining and driving the strategic path for People Analytics across the movement by engaging and coordinating with concurrent HR analytics efforts internally and the People Analytics community externally. Under the direction of the Head of People Analytics, the Data Scientist will help identify opportunities for data-driven solutioning in HR and will be the focal point for all technical aspects of the team’s work. You will help us discover the information hidden in the vast amounts of data available to us, and help us make evidence-based decisions about our workforce and our HR activities. You will help us explore how statistical modeling, predictive algorithms and future-state simulation can aid in strategic workforce planning. Your primary focus will be in applying data mining techniques, doing statistical analysis, building predictive models and developing data tools to integrate into our existing business intelligence systems. This is a unique and exciting opportunity for a Data Scientist to use their skills for social good while tackling fascinating questions about strategic workforce planning, talent and people decisions in the NGO/humanitarian sector. The ideal candidate is passionate about Data Science and how it can be used to positively influence organizations. Tasks Job Functions and Responsibilities  Perform data manipulation, wrangling, cleansing and analysis (in Python and/or R); Build, iterate and validate predictive models using multiple statistical techniques; Transform and clean large, messy and often distributed datasets by using data cleaning tools/methods to improve data quality by removing unwanted observations, fixing structural errors, investigating outliers, manage missing data (dropping, imputing, etc.), scrubbing for duplicate data and validating the accuracy of data; Play a key role in developing a data infrastructure; Provide support to the People Analytics team by helping interpret, understand and extract value and meaning out of MSF’s HR data; Continuously learn and share knowledge about new ways to mine data and distill meaning out of the increasing amount of data available to us; Provide insight on how to turn data insights into concrete measurable actions; Take ownership of data models and solutions by communicating and advocating their use to the Head of People Analytics; When feasible, apply AI, future-state simulation, machine learning, deep learning, neural networks to MSF’s HR data; Collaborate closely with the People Analytics Team and play an advisory role to/pair with the Data Science Intern(s). Travel The role will not include travel, however collaboration with teams across the MSF movement globally may be required. Basic Qualifications     Minimum 2-3 years’ proven professional experience as a Data Scientist/Statistician or similar quantitative role using large, complex datasets and building models to address real organizational challenges and inform business decisions; A Master’s or Ph.D. in a relevant subject (e.g., Statistics, Data Science, Computational Mathematics, Quantitative Social Science, etc.); Must have expert skills and knowledge in R and Python; Experience with other general-purpose programming language like Java is a plus; Strong skills in applied statistics skills using a variety of techniques to extract insights from data; Proficiency in relational and non-relational databases including SQL; Expert skills in MS Excel; Familiarity with BI tools (i.e. PowerBI ( preferred) , Qlik, Tableau); Experience in data mining; Experience in data wrangling/cleansing; Familiarity with Natural Language Processing; Familiarity with machine learning, deep learning, neural networks and data engineering; Superior attention to detail; Excellent communication and data visualization skills; Passion for data and its use in driving organizational change; Ability to adapt to a rapidly growing and scaling work environment; Strong work ethic, intellectual curiosity, and positive attitude; A willingness to perform other tasks as assigned. Preferred Qualifications   Analytics experience in the HR, non-profit, humanitarian or global health field; An interest or background in HR Analytics, Strategic Workforce Planning or People Analytics; Experience with deploying data tools for non-technical end users; Experience with People Data such as compensation, attrition/retention, and leadership pipeline development; Experience working on a global team. Type HQ Pay Class Full Time Exempt Contract Type Fixed Term Contract (12 Month Contract) Additional Information Starting salary high 80s to low 90s (commensurate with experience); Relocation assistance and visa sponsorship will be offered for this position. Desired Hiring Date ASAP Working Time % 100,00 How to Apply Click the Apply Now button on this page to send letter of interest/cover letter and resume. ATTN: “ Data Scientist” position. No phone calls please. Applications without a cover letter (1-page maximum) will not be reviewed. Application Deadline: August 30, 2019  *Applications will be reviewed, and interviews held, on a rolling basis. Interested applicants are strongly encouraged to send their application materials as soon as possible.

At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross-company collaborative innovation. The Enterprise Technology organization drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence. This role is part of the Enterprise Business Systems (EBS) organization. Our mission is to provide business technology solutions for the enterprise that empower growth, and enhance value across brands, geographies and organizations. The Data Solutions & Architecture group is part of the Enterprise Technology organization. We are responsible for architecting, developing and managing the data platforms, data integrations and reporting and analytics solutions for The Walt Disney Company’s enterprise business data. We are experts at architecting and building highly scalable data and analytics solutions that meet the business requirements of the groups across the company we support. As part of our team, you will be working with a full range of data technologies and architectures including big data platforms, enterprise data warehouses, pub/sub data messaging, master data management, AI/ML predictive analytics, Robotics Process Automation, and multiple reporting and analytics frameworks and tools. You will be working in a complex, challenging, fast-paced and rewarding environment, with other like-minded peers who are solutions and results oriented, and who enjoy collaboration. Besides being experts in their respective fields, our architects and developers are smart, curious, innovative, solutions-oriented, respectful, highly collaborative and continuous learners. The Principal Data Architect is one of the key architect roles in the organization. This is a strong technology leadership role, responsible for the data architecture of major data and analytics platforms for enterprise business data across TWDC. Responsibilities : Responsible for the overall data design and modeling across all of the organization’s data systems, especially the design of data in the major data platforms (data warehouses, data lakes, master data management systems), with focus on data analytics and data reporting and visualization Responsible for data management across multiple data systems: data governance, data mastering, meta-data management, data definitions, symantec-layer design, data taxonomies and ontologies Architecting and delivering highly-scalable and flexible, cost-effective enterprise data solutions Responsible for helping set the technology strategy and roadmaps for the portfolio of data platforms and services across the organization Responsible for data security and compliance Designing and documenting data architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Providing active “hands-on” architectural guidance and leadership through the entire lifecycle of development projects Translating business requirements into conceptual and detailed technology solutions Collaborates closely with partners across the organization including other architects, engineering and product managers, and business partners Performing third-party vendor assessments Developing and leading proof-of-concepts projects Keeping fluent in the industry and marketplace evolution--staying current with vendor product offerings and common and emerging data solutions in use across the industry; continuously learning new data technologies and introducing these into the organization Cross-training peers and mentoring teammates Basic Qualifications : Skills & Key Attributes Current with new technologies and vendor solutions available in the marketplace Expertise in data architecture and design, for both structured and unstructured data Expertise in data modeling Expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies Expertise in architecting and delivering highly-scalable and flexible, cost effective, cloud-based enterprise data solutions Fluent understanding of data security and compliance requirements Fluency architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams) Understanding of Solutions Architecture methodology and practices Ability to translate business requirements into conceptual and detailed technology solutions Ability to perform third-party vendor assessments Ability to develop and lead proof-of-concepts Focused on delivering practical, working solutions (no ivory tower solutions) Fluency in cloud based data storage and analytics offerings Strong collaboration skills and ability to establish and manage effective working relationships in a matrixed organizational structure Strong leadership skills Ability to “influence without authority” Strong consensus-building ability and negotiating skills Strong communication and executive presentation skills, both oral and written. Ability to communicate well to both technical and business audiences Thinks strategically Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past. Thinks big and broad, without being constrained by existing norms or business models. Results oriented, biased toward action Keeps fluent in new technologies and successful sharing with peers and introducing new technologies Chooses optimism and calls out cynicism and unproductive behavior Demonstrates stamina, resilience and perseverance under trying circumstances Experience 10 years plus experience architecting enterprise data solutions 10 years hands-on data design in large-scale and complex data solutions development projects In-depth experience in data architecture and design for large, complex enterprise data environments, for both structured and unstructured data Experience architecting and delivering highly-scalable and flexible, cost-effective enterprise data solutions Experience with data analytics, BI, data reporting and data visualization Experience with data modeling Experience with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies Experience with AI/ML and predictive analytics Experience with data security and compliance Experience and with data lifecycle management, data-tiering and data archiving Experience with Solutions Architecture methodology and practices Experience with Finance and HCM data and business domains is a plus Proven track record of execution--driving results and meeting commitments. Required Education : BS in Computer Science or related technology field Preferred Education : MS Computer Science or related technology field  

Overview Comunidad Realty Partners, a multifamily real estate investment company based in San Diego, CA is in search of a Senior Data Scientist that will be responsible for collecting, structuring and transforming data that can be utilized to empirically develop actionable insights supporting real estate investment decision-making and strategy development. The role will require a keen understanding of current and evolving data technologies, experience preferred with programming languages (R, Python, SQL), business fundamentals and key quantitative disciplines, including statistical analysis and machine learning. Benefits Competitive Salary + Bonus Medical, Dental, and Vision Insurance Life Insurance 401k with Employer Match On-site Gym Downtown location near diverse mix of restaurants, amenities, etc. Parking and Cell Phone Stipend Employee Self-Service Portal with Specialized Perks Volunteer / Philanthropic Opportunities Responsibilities Collaborate with fund and portfolio managers, acquisition officers, asset managers, and underwriters to help incorporate gleaned data insights into investment strategy. Collaborate with business stakeholders on visualizations and various reporting tools that can help satisfy analytical needs, convey a story, and provide simple solutions to complex problems. Define and scope related project tasks, goals and deliverables with proper timelines and schedule.  Provide proactive leadership and technical guidance to identify system deficiencies, evaluate problems and propose solutions to test and implement corrective action within systems. Collect, validate, and analyze data. Prepare reports, and visualizations such as graphs, charts and dashboards to create data stories that can enable actionable insights. Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets.  Develop and deploy testing hypotheses and analyze test results for effective feedback loop iteration, providing the necessary analytical rigor to ensure data quality, consistency, repeatability, and accuracy of insights Help define metrics/KPIs for enhanced workflows and build automated solutions that interconnect the data, applications, and people Build process maps through IBM Blueworks and connect the dots between data, applications, and people. Analyzes business processes to plan, design, monitor, and troubleshoot solutions while providing training and necessary user support to assist with the understanding of business processes being executed in the systems. Establishes structures and processes to plan and manage the orderly implementation of change. Drive operational efficiency by maintaining centralized data ecosystems, providing analytics and offering continuous insights and improvements. Research and recommend alternatives for solutions to business problems with minimal direction. Build analytical data lake, warehouses, and marts and build/maintain the underlying data platforms and ETL processes Develop SQL Databases, write SQL Queries, DAX, ySQL (Yardi), and YSR (Yardi). Assist with administering the company SharePoint environment. Support a series of data governance activities for the enterprise. Create ad-hoc or routine queries and reports. Understand business reporting requirements, and assist with the design and development requirements for reports. Performs other duties as reasonably requested. Qualitative Skills Able to translate strategic business requirements into specific detailed technical requirements and tasks. Can solve problems/balance constraints/communicate clearly and effectively. Demonstrated aptitude for logical thinking and the ability to see the larger, strategic picture. Capable of multitasking and dealing with a variety of constituencies and conflicting/competing demands. Able to project manage, prioritize activities, and diligently adhere to project deadlines Strong communication / organization skills, research capabilities, and experience working with cross-functional teams. Curious learner who loves a challenge and stays on top of current and emerging industry trends to add value to the operation. Ability to tell a story with data – What does the analysis tell you? What do you think the business should do next? Why do you think what is happening, is happening? Ability to influence others with the story of what you’re seeing in the data to make business recommendations Fanatical attention to detail and is process-oriented, methodical, and systematic. Experience in an investment management or real estate organization is strongly preferred. Quantitative Skills Must have significant experience within the Microsoft technology stack (ie O365, Azure, PowerBI / PowerApps / Flow, Sharepoint, etc) sufficient to understand physical design and performance to be able to participate actively in data platform design/implementation efforts Must have knowledge of industry best practices in information/data management techniques and platforms (Data Warehousing Design, ETL Process, Data Modeling). Experience in IT controls and data governance practices desired. Familiarity with Enterprise Resource Planning (ERP) systems and ERP based report writing tools, experience with Yardi a plus. One (1) to Three (3) years of business application experience or Information Technology and familiarity with current business analysis principles and practices; or any equivalent combination of acceptable training and experience. Quantitative educational background with professional data analytics experience. Advanced skills in visualization, with experience in various front-end frameworks, such as D3.js, matplotlib, and Power BI Proficiency with a statistical analysis tool such as R and/or Python Machine Learning experience strongly desired Education Required Education Bachelor's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Analytics, Econometrics or related field.  Preferred Education Master's degree in Statistics, Mathematics, Operations Research, Computer Science, Data Science, Econometrics or related field