5 jobs found

Assistant/Associate Program Coordinator - Asset Management San Francisco, CA $87,984.00 - $128,648.00 Annually THIS POSITION IS OPEN UNTIL FILLED AND MAY BE CLOSED AT ANYTIME IF YOU ARE INTERESTED IN THIS OPPORTUNITY, WE ENCOURAGE YOU TO APPLY IMMEDIATELY ABOUT MTC The Metropolitan Transportation Commission (MTC) is the transportation planning, financing and coordinating agency for the nine-county San Francisco Bay Area. For more information about MTC, visit mtc.ca.gov. MTC was created by the California Legislature in 1970. The federal government, state Legislature and Bay Area voters have assigned MTC a wide-ranging portfolio of duties.  MTC directly distributes more than $700 million a year to local public transit agencies and other recipients, and prioritizes requests from local agencies for millions more in scarce state and federal funds. Acting as the Bay Area Toll Authority (BATA), MTC collects in excess of $600 million a year in bridge tolls, and allocates these funds for the operation and upkeep of the region's seven state-owned toll bridges. We plan, invest and coordinate to keep the Bay Area mobile, sustainable and prosperous. We are committed to preserving the diverse communities and natural beauty that make the Bay Area a desirable place to live and work, while addressing the needs of a growing population. About the Position The Program Coordinator - Asset Management position will be filled at either the Assistant or Associate level and is under the supervision of the Principal - Asset Management.  The person in this position will support the transportation asset management program, as well as project-related database integration and analysis efforts, and manage other programs as necessary. The primary focus of the position will be on supporting the following: Data integration workflows and providing primary database administrative support for multiple projects; Enhancement and maintenance to the existing Regional Transit Capital Inventory, (a comprehensive regional database of the transit assets that are owned by transit agencies in the San Francisco Bay Area); Implementation of regional transit asset management systems in response to federal authorization; Coordination of asset management activities with the transit operators; and Other duties as may be assigned, to include local streets and roads and highway asset management programs as needed. SKILLS AND ABILITIES The ideal candidate will have the following knowledge, skills and abilities: Ability to: Work with large and diverse data sets Work with a variety of spatial data formats, including ArcGIS common formats (shapefile, gdb, arcsde) and WKT/GeoJSON Communicate clearly and concisely (both orally and in writing) Create repeatable workflows for integrating disparate datasets/databases Prioritize and undertake multiple tasks Research and analyze complex and technical issues Document and translate technical analyses for policy makers and lay audiences, and apply data to practical uses for achieving broad policies Carry assignments through to completion, on time and with minimal supervision Represent MTC and develop consensus among local agencies Prepare correspondence, reports, and presentations to a wide variety of audiences Work independently. Knowledge of: Microsoft SQL Server/MySQL/PostgreSQL or transferrable knowledge of other database platforms Advanced Excel (Pivot Tables, Spreadsheet Models, Advanced functions, LOOKUPS, Conditional Functions, String Manipulation) Databases conceptual and physical design, creation, management and optimization techniques or have an understanding of data APIs and how they can be used to share data between different databases/systems ArcGIS / ArcGIS Server / ArcGIS Online Quantitative analysis Desirable Skills/Experience: Prior TERM Lite experience Knowledge of Github/Git for code version control Tableau or other visualization software Front end web development HTML, Javascript, CSS. (Bootstrap and Angular JS are a plus) Understanding of transit operations Understanding of capital asset costing and life cycle planning Understand transportation planning principles and policy MINIMUM QUALIFICATIONS An appropriate combination of education and experience that has provided the required knowledge, skills and abilities is qualifying.  A typical way of obtaining the required qualifications is: Education: Completion of a bachelor's degree from an accredited college or university, in an appropriate field related to the area of assignment, such as transportation planning, project management, public finance, transportation engineering, economics, business or public administration, or a related discipline. (Applicants with a degree issued from an institution outside of the United States must have their transcripts evaluated by an academic accrediting service and provide proof of equivalency along with the application.).  A Master's degree is preferred. Experience: One year of experience in an appropriate field related to the area of assignment. Preference will be given to applicants with additional professional work experience.   License/Certificate: Possession of a valid California Class C driver's license and a safe driving record, or the ability to provide alternate transportation which is approved by the appointing authority.   ESSENTIAL DUTIES AND RESPONSIBILITIES Under the supervision of the Principal - Asset Management, the essential duties and responsibilities include, but are not limited to, the following: Project Support: Coordination of asset management activities with the transit operators. Enhancement and maintenance to the existing Regional Transit Capital Inventory (a comprehensive regional database of the transit assets that are owned by transit agencies in the San Francisco Bay Area). Support the development of workflows for the integration of spatial data from multiple project databases (e.g. Regional Transportation Plan and Transportation Improvement Program databases). Work with consultants, staff, and transit agencies, on strategic planning efforts related to transit asset management. Prepare and present materials for Commission consideration; follow agency procedures and standards and work cooperatively with project sponsors and MTC staff to ensure that materials are timely, accurate, and professional. Database Administration: Data integration workflows and providing primary database administrative support for multiple projects. Policy Analysis: Perform complex policy analysis related to state and regional transportation projects and programs. Technical/Data Analysis: Research and analyze complex and technical issues. Work with large and diverse data sets. Create repeatable workflows for integrating disparate datasets/databases, Document and translate technical analyses for policy makers and lay audiences, and apply data to practical uses for achieving broad policies, Maintain a regional transportation asset inventory for the Bay Area's transit systems (RTCI). Ensure data from the systems are consistent and regionally compatible. Analyze, synthesize, and project future needs and utilize FTA software called TERM Lite. Assist with activities related to a regional Safety/Vision Zero program; specifically, around development of a regional safety data system, rolling out safety policies and coordination of a regional Safety/Vision Zero task force. Policy Development: Support Transportation Asset Management implementation and policy development. The Program Coordinator - Asset Management will perform other job related duties as assigned. All employees at MTC are classified as Disaster Services Workers.

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

Economic Systems Inc. (EconSys) is an Equal Opportunity Employer seeking a Software Developer to join our team in Falls Church, VA. The Software Developer will help make a significant impact on our continuous efforts to build on our Human Resources Management enterprise system. Our cloud application enterprise system is FedRAMP program accredited. EconSys is celebrating almost 30 years in business and is continuing to have explosive growth! Our office is expanding, our customer numbers have increased, and you’ll find our products and services used by over 100 Federal agencies. With this increased business, we need help providing our Government customers with the best services and tools. Responsibilities: Writes highly optimized Java and SQL to contribute to the development of the application Assists in debugging critical issues affecting customers and communicates status to the support team Provides guidance to junior developers Documents code Performs code reviews to check for code optimization, code style, and enforce test-driven development methodologies Assists in evaluating new software development frameworks and technologies Requirements: US Citizenship (minimum requirement for client issued Public Trust) Able to obtain Public Trust (pass required credit and background check) 5+ years of working experience as a Full Stack Software Engineer Strong knowledge of software development using Java and Spring Able to create automated test scripts for functionality Expertise in HTML and CSS Experience in JavaScript , jQuery , JavaScript templating , js , and Node.js Knowledge of building API, web services, RESTful, and Elasticsearch Knowledge of Oracle database architecture with proficiency in SQL Able to work independently Experience: Handling live issues Writing JUnit tests Building automation using tools such as Jenkins , Gradle , Maven , or others Utilize Linux Administration, Splunk , Apache , Kafka , Puppet , Tomcat , or OSSEC Knowledge using Python, Scala, Ruby on Rails Education: Bachelor’s Degree Compensation: Includes competitive wages, paid holidays, vacation, sick leave, 401k matching, life insurance, health, vision, and dental benefits. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

POSITION SUMMARY:  The Department of Economics and Business at Moravian College in Bethlehem, Pennsylvania, globally accredited by the Accreditation Council for Business Schools and Programs (ACBSP), invites applications for a full-time Assistant Professor of Practice in Predictive Analytics. The primary fields of teaching responsibilities will include courses in data science and analytics. The successful candidate has the ability to teach several of the following courses: applied statistics, research methodology, principles, and applications of analytics, machine learning, data visualization, and experiential data analytics. All candidates will have the ability to initiate and supervise interdisciplinary and applied projects. Areas of specialization span the broad range of analytics topics with an expectation for the use of analytics tools including Excel, R, Python, SAS, SPSS, Tableau, and others. A qualified candidate will have a genuine desire to teach data science and analytics, fully participate in a liberal arts environment and demonstrate: ability to mentor learners ability to work ethically and effectively as part of a collegial and collaborative team ability to model the intersection of theory and practice in data science ability to deal effectively with individual differences in ability, personality, and interests commitment to assessment and advising high emotional intelligence effective communicator to various audiences a strong commitment to teaching excellence a desire to participate in service including academic and co-curricular advising, and effective communication skills with a variety of audiences. Applicants will be willing to teach at the undergraduate (introductory through advanced levels) and graduate level. This role will be an integral part of our Master of Science in Predictive Analytics Program. Assistant Professors of practice are full-time, non-tenure eligible faculty. The standard teaching load is four courses (or equivalent) per semester. A course release may be offered each semester to complete administrative duties related to the Master of Science in Predictive Analytics program. This appointment is for a three-year term, renewable. All positions are subject to budget availability. QUALIFICATIONS:  An earned Ph.D. (or equivalent degree), advanced ABDs, and candidates with a Master's degree plus significant professional experience and professional certifications will be considered. Prior teaching experience in analytics is preferred. TO APPLY:  Qualified candidates should click the "Apply Now" button on this page to send a letter of interest, curriculum vita, graduate transcript and evidence of teaching effectiveness. Please attach documents as a PDF file. Qualified candidates should also arrange to have three (3) letters of recommendation sent. Review of applications will begin in December 2019 and continue until a finalist is identified.   (Moravian College will not sponsor applicants for this position for a U.S. work visa.) Founded in 1742, Moravian College is the sixth-oldest college in the country. Moravian is a private coeducational liberal arts college that is located in historic Bethlehem, in the heart of Pennsylvania's Lehigh Valley. Moravian is composed of a traditional undergraduate program, graduate, professional, and adult completion programs, and Moravian Theological Seminary. Moravian College is committed to enhancing the diversity of the college community and the curriculum. Candidates who can contribute to that goal are encouraged to apply and to identify their strengths or experiences in this area. The Economics & Business Department's programs are nationally accredited by ACBSP. PHYSICAL DEMANDS: Occasionally required to remain seated in a normal position for long periods of time Regularly required to walk about Regularly required to maintain balance while walking, standing, crouching, or running Routinely required to reach up and out with hands and arms Regularly required to talk and hear; verbally express information or instructions Regularly required to use hands to grasp objects, type, pick up objects, move objects, or hold objects Routinely required to stoop, kneel, crouch, and/or crawl Regularly required to climb stairs and/or ladders Occasionally required to lift up to 25 pounds and carry a distance of 10 feet Occasionally required to push and/or pull up to 25 pounds a distance of 10 feet Routinely required to stand for long periods of time Close vision (clear vision at 20 inches or less) Depth perception and the ability to judge distances and spatial relationships Adjustable focus WORK ENVIRONMENT: The work environment characteristics described here are representative of those encountered while performing the essential functions of this job.The individual is routinely exposed to indoor conditions, minimum outdoor weather and temperature extremes, and moderate noise level. The specific statements shown in each section of this description are not intended to be all-inclusive. They represent typical elements and criteria necessary to successfully perform the job.