7 jobs found

WHAT YOU’LL DO  As a Data Engineer, you will work closely with a multidisciplinary agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling General Mills to advance the data-driven decision-making capabilities of our enterprise. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.  In this role you will:  Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.  Solve complex data problems to deliver insights that helps our business to achieve their goals  Create data products for analytics and data scientist team members to improve their productivity  Advise, consult, mentor and coach other data and analytic professionals on data standards and practices  Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions  Lead evaluation, implementation and deployment of emerging tools & process for analytic data engineering to improve our productivity as a team  Develop and deliver communication & education plans on analytic data engineering capabilities, standards, and processes  Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.  Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics WHO YOU ARE  Bachelor’s Degree  5 years of experience working in data engineering or architecture role Expertise in SQL and data analysis and experience with at least one programming language Experience developing and maintaining data warehouses in big data solutions  Big Data development experience using some or all of the following: Hive, BigQuery, Impala, Spark and familiarity with Kafka Experience working with BI tools such as Tableau, Power BI, Looker, Shiny  Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.  Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics  Passion for agile software processes, data-driven development, reliability, and experimentation  Experience working on a collaborative agile product team   Excellent communication, listening, and influencing skills  WHAT’S NICE TO HAVE  Bachelor’s degree in Computer Science, MIS, or Engineering  7+ years applicable work experience Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space  Experience in Python or Scala  Big Data development experience using Hive, Impala, Spark and familiarity with Kafka  Familiarity with the Linux operating system   Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics Experience with OLAP such as AtScale, SSAS, SAP BW, Essbase Knowledge of Data Preparation, Data Wrangling, and Feature Engineering

WHAT YOU’LL DO: In order to make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engine and services. You will collaborate with product owners, business partners and other Data Scientists in the consumer marketing and media space to define technical problem statement and hypothesis to test; develops efficient and accurate analytical models that mimic business decisions. In this role, you will: Collaborate with business partners to develop novel ways to optimize marketing levers, media mix, spend, etc. to meet goals utilizing cutting edge techniques and tools Educate cross-functional partners by effectively communicating your analytics approach in the marketing/media space Advocate and educate on the value of data-driven decision making, focusing on the “how and why” of solving problems Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers Engineer new features by using your business acumen to find new ways to combine disparate data sources Collaborate, coach, and learn with a growing team of experienced Data Scientists Stay connected with external sources of ideas through conferences and community engagements WHO YOU ARE: Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience in a consumer, marketing, or media related role Must have Python or R proficiency working with DataFrames Must have proficiency writing complex SQL queries Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Exceptional communication & collaboration skills to understand business partner needs & deliver solutions Bias for action, with ability to deliver outstanding results through task prioritization & time management WHAT’S NICE TO HAVE: Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization Experience with supporting deployment, monitoring, maintenance and enhancement of models Experience with data visualization tools — Tableau, R Shiny, Plotly, etc. Experience in digital marketing environment e.g. ad servers, web analytics, bid management Familiarity with digital marketing principles e.g. funnel optimization, landing page optimization Experience working in business to consumer marketing Experience using data to tell a story and influence business decision makers

WHAT YOU’LL DO: To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining and information retrieval to design, prototype and build next generation advanced analytics engine and services. You will collaborate with product owners, business partners and other Data Scientists to define technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions. In this role, you will: collaborate with business partners to develop novel ways to meet goals utilizing cutting edge techniques and tools and effectively communicating your analytics approach advocate and educate on the value of data-driven decision by focusing on the “how and why” of solving problems as your second nature lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers engineer new features by using your business acumen to find new ways to combine disparate data sources love to collaborate, coach and learn with a growing team of experienced Data Scientists stay connected with external sources of ideas through conferences and community engagements WHO YOU ARE: Bachelor’s in Data Science, Computer Science, Engineering, Statistics and 5+ years’ experience required OR Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2+ years work experience Must have Python or R proficiency working with DataFrames Must have proficiency writing complex SQL queries Must have proficiency with Machine Learning to solve problems such as clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets Exceptional communication and collaboration skills to understand business partner needs and deliver solutions Bias for action, with the ability to deliver outstanding results through task prioritization and time management WHAT’S NICE TO HAVE: Experience with Big Data technologies — Hadoop, Spark, H20.ai, Cloud AI platforms, containerization Experience with supporting deployment, monitoring, maintenance and enhancement of models Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.  

The Vice President, Data & Analytics is looking for an experienced Modeling and Analytical Consultant to join the Data and Analytics Innovation team. This individual will be working with all Business Units to train globally on new modelling approaches and innovations.  This position will lead our D&A University that aims to transform our approach to empowering our associates and leaders with analytical and technical skills they need to be successful in current and future roles. Who is Equifax? Equifax is a global information solutions company that uses trusted unique data, creative analytics, technology and industry expertise to power organizations and individuals around the world by transforming knowledge into insights that help make more informed business and personal decisions. Regardless of location or role, the individual and collective work of our people makes a difference in our business. We are looking for individuals who can help us disrupt the marketplace. You will do this by delivering leading-edge technology to build and deliver unparalleled customized insights that enrich both the performance of businesses and the lives of consumers. We will give you the opportunity to drive innovation and automation across the enterprise. This will include tool and process integrations across all business units within Equifax globally. Responsibilities: Develop and execute training strategy globally on new modelling approaches,  innovations, data assets, modelling applications and processes  Requires specialized depth and/or breadth of expertise to operate independently  Communicates difficult concepts and influences others to adopt a different point of view Interacts with key decision-makers within own function and across related functions to successfully navigate Equifax’s matrix organization, involving others across the organization as needed Be the experienced practitioner on machine learning that others look to for guidance and education. Partner with a cross-functional team of data scientists, software engineers, product managers, and learning specialists to develop and deliver a learning that is adapted easily Teach others how to build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Curate existing content from various sources like universities, commercial content providers, and publicly available material Develop and conduct training through a variety of modes (in person, on-line, self-paced, blended) Position Requirements: Master’s Degree or higher in Statistics, Mathematics, Computer Science, Engineering 7+ years’ modelling and analytics experience in the financial services area Experience developing models and scores with applications in risk and marketing Innovative and continually research and evaluate emerging technologies and current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them Leader that challenges conventional thinking and work with stakeholders to identify and improve the status quo and passionate about teaching others Technical and comfortable with open-source languages and are passionate about developing further and have hands-on experience developing data science solutions using open-source tools and cloud computing platforms Statistically-minded and has experience building and validating models and experience with a variety of applications such as artificial intelligence, neural networks, regression, or machine learning Ability to collaborate as a team player in a matrix organization Strong verbal communication and interpersonal skills across global geographies and collaborating with internal/external customers The Perks of being an Equifax Employee? We offer an excellent compensation packages with high-reaching market salaries and 401k matching, along with the works: comprehensive healthcare packages, schedule flexibility, work from home opportunities, paid time off, and organizational growth potential. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. To speak to us about this role in more detail apply online.

Search for Assistant Vice President, Data Analytics and Reporting The University of Maryland, Baltimore The Position The University of Maryland, Baltimore (UMB), the state’s public health, law, and human services university, seeks an innovative, collaborative, leader to serve as its inaugural Assistant Vice President, Data Analytics and Reporting (AVP). The AVP will serve as the founding director of UMB’s Office of Data Analytics and Reporting. The new office will support the entire University‘s analytic and reporting needs within and across a wide range of functional areas, including finance, academic affairs, research administration, human resources, student affairs, and philanthropy. The new office will be responsible for developing a decision support program that leverages data in the warehouse, and will advance the development of data management practices, business intelligence tools, the application of advanced analytics, and the development of interactive dashboards and reports. The AVP will work with key leaders in IT, in numerous administrative offices, and with personnel in schools and departments, in promoting the effective use of data to address key questions, assess performance, and inform decision-making. The AVP will bring a fresh perspective to administrative data management, analytics, and reporting within and across institutional sources of data. The person will identify opportunities to apply contemporary approaches to analytics and reporting through the use of state-of-the-art tools and technologies. The AVP will join campus leadership in fostering a campus-wide culture of informed decision-making and a philosophy of comprehensive self-service reporting such that business intelligence tools and data analytics capabilities are available to all schools and departments. The person will promote enterprise-wide reporting and analytics program that opens the doors to more information and understanding about UMB, leading to data-informed decisions. The AVP is responsible for consulting with and listening to UMB leaders; communicating the benefits and capabilities of the data analytics program; making presentations that demonstrate the value and outcomes produced by transparent BI technologies and data analytics; and encouraging the use of multiple administrative data sources and analytics for decision support related to the management of resources and achieving institutional and school-based goals and strategic outcomes. Candidates should possess demonstrated experience in the field of information management or analytics and reporting; demonstrated expertise with business intelligence and predictive analytics, as well as using and/or leading data warehouse efforts; and significant experience with large databases and Enterprise Resource Planning statistical software programs, spreadsheets, and query, and data mining software; UMB is assisted in this search by Isaacson, Miller, and a national executive search firm. All inquiries, nominations, and applications should be directed in confidence to the firm as described at the end of this document. To Apply All inquiries, nominations/referrals, and application materials should be submitted in confidence via Isaacson, Miller’s website: Daniel Rodas, Partner Liz Vago, Managing Associate Click the "Apply Now" button on this page to be taken to the website. Electronic submission of materials is strongly encouraged. The University of Maryland, Baltimore is an Equal Opportunity/Affirmative Action Employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply.

The Data Visualization and Presentation Specialist is a member of AWEA’s Research & Analytics team and supports AWEA’s analytical agenda by seeking the narrative in data and telling it through a variety of engaging, immersive visual tools. This position thinks in numbers and speaks in interactives, maps, and charts to deliver effective and compelling advocacy materials and content to further the organization’s mission and objectives. The role will also leverage data analysis tools to investigate industry data, market trends, and policy impact assessments to support AWEA’s policy and regulatory decision-making and advocacy. This position reports to the Vice President, Research & Analytics. Essential Functions/Major Responsibilities:  Think critically about graphics and data. Employ a variety of methods – interactive graphics, infographics, charts, maps, fact sheets, and more – to deliver compelling advocacy material and visually stunning market reports and presentations. Develop intuitive, attractive, and interactive data visualizations for reports, presentations, and a range of other uses. Distill data to communicate compelling stories to diverse audiences. Produce high-quality and visually appealing presentation content based on AWEA data and secondary sources. Update legacy presentations, fact sheets, and additional data-driven advocacy content. Lead design and production of AWEA market reports, fact sheets, and data visualizations. Work collaboratively with report authors and subject matter experts to develop content and tailor products to appropriate audience. Build dashboards and similar data summaries for senior management that informs decision-making and planning. Design and perform analyses that support AWEA’s policy agenda at the state, regional, and federal level on strategic issue areas. Provide rapid response and analysis to inquiries from Government and Public Affairs teams, AWEA members, regional partners, the press, and others. Serves as a technical expert in communications with AWEA members, policy makers, the press, and the general public. Assist in reviewing audience-facing material across the organization.           Knowledge, skills and abilities: Strong quantitative analysis skills. Candidate must possess a strong record working with large, complex datasets. Critical thinking: able to look at numbers, trends & data and come to new conclusions and transform into compelling visuals. Strong written and oral communication, with the ability to tailor information to audiences of varying technical capabilities. Expertise in technologies such as Tableau, SQL, JavaScript/HTML/D3. Experience with Adobe Illustrator, Acrobat, and Photoshop. Experience in ArcGIS or other geospatial visualization software. Ability to respond quickly and professionally to inquiries. Ability to prioritize and complete a variety of tasks efficiently. Interpersonal skills and ability to work in a collaborative team environment. Education and/or Experience AWEA is seeking applicants whom reflect and understand our core values: We HEART Wind Energy, The Truth Prevails, Together We Succeed, and Ahead of the Curve . Qualified applicants may possess any combination of education and experience enabling them to successfully perform the responsibilities of the position. Qualifications are: Bachelor’s degree in a quantitative field such as economics, statistics, or engineering preferred. Seeking candidates with a minimum three years of experience conceptualizing and creating information graphics, data visualization, interactives, and presentations. Knowledge and working understanding of U.S. electricity sector preferred. To apply Click the "Apply Now" button on this page to send how you heard about this job, cover letter, salary requirement, start date availability, and resume (use “[Your Name]- Data Visualization & Presentation Specialist ” in subject line) or mail to AWEA, 1501 M Street NW, Suite 900, Washington, DC 20005;  Attention:  Human Resources. AWEA is Metro accessible and provides a generous benefit package. To learn more visit our website. . AWEA is an Equal Opportunity Employer.

Biostatistician responsibilities include, but are not limited to, the following: Performs data analysis and statistical evaluations Collaborates with clinical and bioassay development teams to design studies, forms and analysis plans, performs sample/size/power calculations and stratification/randomization of studies, statistical programming, and report writing Ensures the statistical validity of study activities by solving problems occurring in the data collection process Recommends and carries out effective statistical methodology and strategies necessary for the creation, completion, and analysis of clinical or research project populations to be studied Recommends analytical design for a broad range of data and the most appropriate statistical procedures for evaluation of outcome of studies Uses a wide variety of statistical procedures including, but not limited to, categorical data analysis, exploratory and graphical methods, analysis of variance, correlation analysis, multiple linear regression, time series analysis, logistic regression, survival analysis, and statistics process control (SPC) The ideal candidate would possess: Knowledge of SAS, SATA, and R statistical software packages Experience with statistical methods including Monte Carlo simulation/modeling, categorical data analysis, exploratory and graphical methods, multivariate Gaussian distributions, analysis of variance, correlation analysis, and multiple linear regression Strong computer, scientific, and organizational skills Excellent communication (oral and written) and attention to detail Ability to work independently and as part of a team, self-motivation, adaptability, and a positive attitude Basic Minimum Qualifications: Ph.D. in Statistics, Applied Statistics, Biostatistics, or similar field At least 2 years’ experience analyzing and interpreting biostatistical data Position is full-time, Monday-Friday, 8:30 a.m.-5 p.m., with overtime as needed.  Candidates currently living within a commutable distance of Melville, New York are encouraged to apply. As a Eurofins employee, you will become part of a company that has received national recognition as a great place to work.  We offer excellent full-time benefits including comprehensive medical coverage, life and disability insurance, 401(k) with company match, paid holidays and vacation, personal days, and dental and vision options.