5 jobs found

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.  

Job Summary Apply expertise in machine learning and natural language processing to develop cutting-edge language learning and assessment products and solutions. Responsibilities* Apply natural language processing/machine learning/deep learning methods to investigate and develop features and solutions for language learning and assessment products. Collaborate with cross-functional teams on prototyping, evaluation, operationalization, and continuous improvement of language learning and assessment products and solutions. Design, create, clean, annotate, and manage rich data sets for natural language processing/machine learning/deep learning analysis. Document, present, publish, and educate on the results of research and development work to internal and external specialist and non-specialist audiences. Monitor and assess new technologies and their potential for new products and services. Other contributions commensurate with level and experience (e.g. service on committees, coordination with external consultants, etc.) Required Qualifications* MS in computer science or related field, or equivalent expertise in natural language processing/machine learning. Proficiency in a programming language such as R or Python. Proficiency in use of machine learning/deep learning tools such as TensorFlow, Keras. Problem solving, flexibility, and ability to deal with ambiguity. Ability to communicate well with and present to a variety of audiences, particularly of technical concepts to non-technical colleagues and stakeholders. Ability to work independently and collaboratively on multiple projects. Five years of experience in natural language processing/machine learning. Desired Qualifications* PhD in computer science or related field. Experience in implementation of machine learning in commercial products. Experience in working with data from (English) language learners. Additional Information For additional information please visit our website.

Data Analyst - Houston, Texas Long Term Contract - Potential for Direct Apply Now - Position will go FAST! Candidates MUST have at least 3 years’ of working experience in consulting, operations/analytics role Looking for a company and position that has growth potential and unlimited ways to contribute? Then this is the role for you! Our client is in the renewable industry and is looking to expand their team by bringing on a Data Analyst. In this role you will have the ability to really dig into this role contributing your intelligence around data that will enable the sales organization to evolve through having the most critical data and analytics to drive the performance of their business. If you want to be challenged and are looking for the job of your dreams - this could be it. Exceptional leadership who are innovative and forward thinking! The Data Analyst will be responsible for implementation and tracking of overall metrics for the company’s Customer Acquisition team and will report to the Director of Customer Acquisitions. The Data Analyst will (i) work closely with the individual sales and marketing managers to develop, implement, and track relevant metrics to aid in managing the day to day business (ii) work closely with the Director of Customer Acquisitions to track overall sales and marketing performance as it relates to budget and forecast (iii) develop pricing, customer acquisition, & propensity models to support key sales and marketing strategies. The ideal candidate loves data, programming, creative problem solving, and optimizing processes. Responsibilities: Develop, track, and automate reporting that aids Customer Acquisition team in managing sales and marketing programs Identify gaps in business processes that contribute to poor data integrity and recommend and initiate changes to fix appropriate business processes Responsible to create Data Warehouse solution that will aid in performing job duties Develop reporting package that is suitable for detailed deep-dives into the business all the way to executive level monthly reporting Apply statistical modeling or machine learning algorithms to optimize sales and marketing efforts for customer acquisition and retention Develop regression/propensity models for use with sales and marketing campaigns (Direct Mail, e-mail journeys) and retention campaigns (likelihood to cancel) Develop data visualizations that aid in communicating results Quantify the effects of various marketing levers Translate, communicate, and present results and recommendations to a non-technical audience Technical Skills: Have you done any interesting analytics projects for fun? We would love to see them! Statistical modeling and analysis skills Strong general programming skills Proficiency with R and Python SAS programming a plus Strong SQL skills / understanding of relational databases Excel guru Microsoft Power BI or other visualization packages preferred Additional Knowledge, Skills and Abilities: Ability to translate complex business issues into achievable analytical learning objectives and actionable analytic projects Ability to build various propensity models Ability to work well under pressure, remaining focused and calm in a fast-paced environment Ability to communicate information clearly, both orally and in writing Ability to interpret complex analytic results and develop practical business implications Strategic marketing mindset and firm understanding of key marketing and financial concept Keen attention to detail Ability to work as a team member in a fast-paced environment Demonstrated ability to learn and apply new technologies and new analytics models/techniques as needed Qualifications: Education: Bachelor’s Degree in Economics, Statistics, Finance, Computer Science, Engineering, Mathematics Advanced Degree in a quantitative field a plus Candidates MUST have at least 3 years’ of working experience in consulting, operations/analytics roles

The Insights & Analytics team is responsible for analyzing vast amounts of data to better understand and predict customer behavior that in turn informs business decisions and improves J.Crew Group customers’ experiences. Our team has a broad mandate, handling customer analysis across the entire organization and informing marketing, merchandising, planning, stores/field, budgeting and other financial decisions. The Manager position is responsible for designing an appropriate methodology, accessing and analyzing large amounts of data, and synthesizing findings into insights in customer behavior. The work takes the form of strategic ad hoc projects, as well as more routine reporting to measure the effectiveness of various tactics and tests. Responsibilities include: Regularly liaise with the marketing, loyalty, merchandising, and stores teams to understand their business needs and provide the right analyses/insights based on their key strategies and issues Field ad hoc requests for customer analysis, acting as an analytical thought partner to the business stakeholder, and assigning the appropriate analytical approach Conduct advanced customer analyses and arrive at compelling data conclusions, including but not limited to cross-shop, customer profiles and KPIs, and studies into customer loyalty, acquisition and retention trends Translate data findings/trends into actionable insights to better understand complex shopping behavior and present analytical findings in easy-to-understand presentations, making clear recommendations based on deep insights into the data Own, design, develop and distribute customer reports and dashboards that clearly track the effectiveness of strategies underway Build predictive models to improve profitability, growth, retention, customer lifetime value, and other key performance indicators for our business stakeholders Implement formal modeling processes from end-to-end including data gathering, data profiling, numerical model building, calibration, cross-validation, and launching in production Advise on experimental designs to ensure new business strategies are tested appropriately and without bias; assist stakeholders in parsing results, arriving at conclusions and advising on next steps, when needed Act as a subject matter expert on best practices in retail customer analysis Work closely with vendors as needed to ensure integrity of data and analyses being provided Liaise with our customer database provider as needed to ensure data is processed correctly and recommend any changes or updates to support the growing business needs The ideal candidate: Has excellent familiarity with analyzing transactional customer data Is analytical and curious, especially about how numbers can define company strategy Is an excellent oral and written communicator who can clearly tell stories based on insights into the data Understands the retail industry and the analyses common in the trade Has advanced project management skills and efficiently manages tasks to completion Has some degree of modeling experience or familiarity with CLV, churn, propensity, and multi-touch attribution models Is extremely detail oriented Has an entrepreneurial mindset and is comfortable with change and ambiguity Is eager to continually improve his/her analytical and technical skills Has a positive, can-do attitude and wants to be part of a critical team Education & Experience Requirements: Master’s degree preferred in a quantitative field At least 5 years’ previous work experience in retail / e-commerce Superior research, statistical, analytical, processing and mathematical skills with ability to structure and conduct analyses Strong proficiency in R, SQL and/or Python, Tableau and Microsoft Office Suite Working knowledge of AWS toolkit, including S3, Athena, Glue, and Sagemaker

The Data Analyst is responsible for the analysis and utilization of data from many sources with the overarching goal of leveraging HRC’s 8+ million records to strategically support and fulfill the organization’s fundraising and programmatic objectives. This position has four primary areas of responsibility: data management, data visualization, data analysis, and data integration. The Data Analyst will help ensure the integrity of, enhancements and improvements to, and the management of the data flowing into and out of HRC’s Oracle-based CRM database (hosted by ROI Solutions), data warehouse (hosted by Civis), and voter database (VAN). In that capacity, the Data Analyst, together with the team, will serve a pivotal role as the guardian of all data related to HRC’s members, supporters and contacts and will play a key role as team project manager. Position Responsibilities: Data Analysis:   Create reports, visualizations, tools, and analyses with the goal of developing strategic insights and strategies from HRC’s data to enhance fundraising, political action and donor/supporter experience with the organization. The Data Analyst will be creative and pro-active in looking for opportunities to apply data analysis to multiple facets of the organization’s work; Use descriptive analytics to determine the success of fundraising efforts, including A/B testing and statistical significance in differences between two groups; Use data to create predictive models for quantitative analysis of trends among members, supporters, and prospects; and Work closely with users to identify their business needs in terms of problems and opportunities and develop routines, processes, reports, queries and extracts. Data Management: Manage and maintain all data extracts for direct response campaigns, including telemarketing, direct mail, and web/digital ad campaigns using SQL in Civis and ROI Solutions; Manage and maintain data extract requests from the Campaigns & Organizing team for contacting members and supporters during political campaign efforts using the voter file through the platform of the Voter Action Network (VAN); Provide technical support and advice in creating contact lists and other processes in the VAN; Adhere to established protocols and standards for data integrity, data quality, data hygiene and overall data management; Work with internal users and vendors to ensure that the database is complete and accurate and that data imports, uploads, queries, reports and extracts are performed according to established norms and protocols, including regular data cleansing and maintenance (e.g. de-duping records, NCOA updates, and other data appends and sweeps); Develop, implement and document policies and procedures relating to HRC’s membership database, including providing technical support and customer service for internal users; and help ensure the accuracy of data extracts as part of the Quality Control process, analyze the accuracy and reliability of data outputs and make corrections as needed. Data Visualization: Design, construct, manage, distribute, and maintain data visualizations as a component of reporting and analysis; Incorporate innovative and informative data visualizations in Tableau for multiple departments within HRC for internal reporting on members and supporters; Train/provide technical guidance to internal team members and external users to utilize reports and visualizations effectively; Use Tableau to create, maintain, and distribute interactive charts, graphs, dashboards, maps and other items to inform departments of internal progress and promote data-driven decision making; Keep up to date on best practices for effective data visualization creation. Data Integration: Serve as a pro-active team member handling data synchronization between systems and technical issues regarding member and supporter data – especially concerning types of data to be collected or stored, enhancements to ROI/Civis, changes in systems that feed into ROI/Civis, etc.; Help manage data streams into and out of ROI/Civis. Ensure that all data collected for input into ROI (e.g. manual data entry by internal and external users, automatic synchronization of data from other systems, uploads from overlays, etc.) are compatible with ROI structure and protocols; Diagnose problems as they occur and identify and implement solutions. Work with users and database vendor to identify and implement improvements. Work to create efficiencies across departments and users, and Other: Help the team connect the dots between new requests and recently completed ones so that work can be edited rather than created new by reviewing incoming requests, paying close attention to discussions around data, and having a thorough understanding of the data itself,; Ensure that all of their work is documented on the shared drive, and assist the team in saving incoming reports, requests, etc; Coordinate activity with and serve as back-up for other Data team members; Other related duties as assigned. Position Qualifications: Bachelor's degree (or equivalent experience) plus three to five years related experience is required. Database querying with SQL; Experience building reports and visualizations in Tableau. Experience with predictive analytics using R or Python; Knowledge of and previous experience with a membership database (ROI Solutions) and/or Salesforce is helpful; Experience in Voter Action Network (VAN) database preferred; Experience with Flask and/or Shiny apps preferred; Experience in non-profit fundraising, preferably in a highly complex environment within a large non-profit preferred; Demonstrated communication and collaboration skills to work with staff, volunteers and vendors; understand and interpret user needs; and lend expertise, problem-solving, and creative and analytic thinking to formulate and communicate solutions; Ability to create reports and communicate findings on trends, performance and objectives in a clear, concise manner; Ability to work effectively in a dynamic organizational environment; Strong attention to detail and desire to investigate problems to identify and rectify underlying causes; Ability to multi-task and prioritize and manage time well; Knowledge of or interest in LGBTQ issues is preferred.   We strongly encourage people of color, transgender and non-binary people to apply. HRC is an equal opportunity employer and welcomes everyone, including non-LGBTQ people, to join our team.   All positions at the Human Rights Campaign may require travel on a regular basis or periodically.  Where the need arises for business travel, appropriate compensation as outlined by the Fair Labor Standards Act will apply.   No phone calls or emails, please. Due to the volume of applications we receive, we are unable to respond to queries about application status.