Home

Cupertino, California, Location: Cupertino, CA   Imagine what you could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Every single day, people do amazing things at Apple. Do you want to impact the future at Apple by developing an extraordinary platform for our Operations team?   Apple is a data-centric company where many critical decisions are made based on data. The completeness, accuracy and timeliness of data has huge implication to our decision-making. Every shipped Apple product undergoes rigorous testing at our factories to ensure the best customer experience. Our team handles the collection and reporting of all manufacturing data.   Machine Learning Algorithm Engineer Through the use of statistics, the scientific process, and machine learning, the team recommends and implements solutions to the most challenging problems. We’re looking for experienced machine learning professionals to help us revolutionize how we manufacture Apple’s amazing products. Put your experience to work in this highly visible role.   Responsibilities:   Collaborate with fellow ML engineers, robotics/automation specialists, manufacturing and product development engineers to apply Machine Learning solutions to industrial problems and situations Work with other ML engineer and program manager, analyze huge amounts of real-world production data to formulate the problem, propose modeling solutions. Your solution can be traditional ML (regression, classification) and/or Deep Learning . Prototype and package your solutions in Python and/or C/C++/Objective-C towards roll-out of a data automation system Participate Apple’s ML community activities and share your findings/innovations Research and improve existing ML algorithms for various applications (images, and/or non-image ML algorithms )   Requirements:   You are encouraged to apply if you meet one of the below three requirements Good knowledge and hands-on experience in image ML and computer vision Good knowledge and hands-on experience in traditional ML (regression, classification, tree-ensembles, etc) for non-image data Operation Research experts with some understanding of ML. Strong software development skills with proficiency in Python, familiar with Git. Experienced user of machine learning and statistical-analysis libraries, such as scikit-learn, scipy, NetworkX, Spacy, and NLTK Hands-on experience with design, implementation and application of ML/AI/Deep Learning solutions and techniques to build models that solve real problems. Strong in communication and presentation skill. [Plus] Experience of applying ML to industrial or manufacturing environments is a plus. [Plus] Experience applying deep learning frameworks, such as PyTorch/Torch, Caffe2, TensorFlow, Keras, Theano to real world applications that solve problems   Data Science Analytics Lead You will utilize data, infrastructure and intelligence tools to tackle interesting problems every day. You will be tasked with finding insights from data that will improve Product Operations, quality, and manufacturing efficiencies by understanding the variables impacting yield. The Product Operations Data team drives strategic initiatives for better data collection and reporting, ensure data integrity across multiple data sources, and reduce analysis time through automation and creative solutions. You should have expertise required to understand complex data sets: product testing, parametric data, manufacturing, robotics and capital equipment. Then select and configure appropriate technologies and programming languages required to ensure successful business impact. Responsibilities: As a Sr. Data Analytics Lead you will drive and lead business insights, presenting data findings to peers, managers, directors, and VPs. Highlight data patterns that could be useful for making business decisions. Employ statistical techniques with big data initiatives and tools to drive major operational business decisions. Answer complex questions through data science, analysis, and clearly communicate findings to multi-functional teams for direction. Influence repair processes and fraud detection improvements by scripting analysis on very high volumes of data at a commodity and parametric level. Seek opportunities to improve data collection, reporting and consumption based on business needs. Regularly collaborate with internal and external information technology teams on resolving data issues, as well as mitigation plans to avoid errors in the future. Participate in strategic capital systems planning. Requirements:   Excellent analytical skills, advanced level of statistics with the ability to identify and predict trends and anomalies. Strong expertise with Python, R and libraries such as (scikit- learn, scipy, R, NetworkX, Spacy, and NLTK). Experience in data mining very large data sets, high proficiency in SQL (Teradata, SQL, Oracle, or MySQL or other RDBMS.) Experience pulling your own data for analysis with Hive queries or in a distributed processing systems environment preferred (Hadoop, HDFS, Spark, AWS Redshift, Presto) Data visualization experience with tools such as: Tableau, JMP, R creating dashboards and presenting data through reports.   Manufacturing Decision Support   The iPhone Capacity Planning team is a high impact and well valued team. From capital equipment planning, business allocation, production line planning to labor planning, the outcome of this team’s work influences key inputs for multi-billion dollar budgets and navigates complex operational challenges by working closely with supply demand planning, operation/technical program management, CapEx management, quality, infrastructure, AppleCare, procurement and our contract manufacturing partners. On a day to day basis the team plays a meaningful role in defining and leading strategic and operational priorities as well as improvements across the iPhone and Core Technologies organization. The ideal candidate will help us to go further into the areas of deep data analytics and operations research in order to drive decision support. Responsibilities: Experience planning supply chain and operational structures in complex and dynamic environment. Hands-on experience in complex data modeling, simulation and optimization. Experience in developing solutions for open ended projects with multi-cross functional teams, preferably in the context of factory operations Experience with data acquisition tools, large datasets and data mining Experience in relevant coding languages: C/C++, R, or Python Solid understanding of optimization tools such as: CPLEX, AMPL, Gurobi or FICO Xpress. Working knowledge of predictive modeling Self-sufficient with an ability to excel in an environment of autonomy amidst ambiguity. Identify areas within operations that would benefit from your analysis and feedback. Strong communication and analytical skills - adept at messaging domain and technical content, at a level appropriate for the audience. Requirements Data analytics — taking tons of data and helping build out or select tools to analyze production, capacity, lead times, cost structures, etc. Data modeling, simulations or optimization tools like Gurobi, Cplex or Xpress Programming experience with Java, C++, Python or Perl Excellent communication skills, both verbal and written

Boston, Massachusetts, Wayfair Data Science & Machine Learning Opportunities Location(s):  Austin,TX- Boston, MA- San Francisco,CA- Toronto, Canada    Team Description:  Wayfair’s Data Science team builds the algorithmic systems that drive our business. With 8 expansive workstreams (Pricing, Personalization & Recommendations, Merchandising, Marketing, Measurement, B2B, Computer Vision, and Operations), and more than 20 specialized subteams, our projects span from enormously broad to minutely specific. The projects that our teams work on are driven from the ground up – we look for entrepreneurial individuals that want to take ownership over their own agenda and thrive in a collaborative team environment.  There is very little at Wayfair that our Data Science team does not touch. They work closely with stakeholders across the business to ensure that our data driven insights do not collect dust. With an in-house A/B testing platform and rolling code deployments, our team can quickly and clearly see the impact that its work has on the company at large.  As a Data Scientist at Wayfair, you will have the opportunity to play a critical role in a growing company while also operating with a high level of executive visibility. The team is focused on creating strategic solutions that steer customer behavior, influence key decision making and quantify our impact within the e-commerce space. Our diverse and fun employees enjoy an environment of strong ownership and quick feedback from building, experimenting, and iterating on high-impact work. What You'll Do Own the full Data Science life-cycle from conception to prototyping, testing, deploying, and measuring its overall business value Develop quantitative models, leveraging machine learning and advanced data analysis techniques to create novel solutions to complex business problems Integrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our site Drive measurable business value collaborating with business teams to change the course of Wayfair Uncover deep insights hidden in our vast repository of raw data, and provide tactical guidance on how to act on findings Use data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers Work with a team of friendly and motivated scientists, engineers, and product managers to build novel solutions to business problems   What You'll Need 1-4+ years of experience in a quantitative or technical work environment and an advanced degree (PhD) or Masters in quantitative field (e.g. mathematics, economics, computer science, engineering, physics, neuroscience, operations research, etc.) Machine Learning experience (such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.) Bayesian Learning, Multi-armed Bandits, or Reinforcement Learning strongly preferred Ability to effectively work with business leads: strong communication skills, ability to synthesize conclusions for non-experts and desire to influence business decisions Proficient at one or more programming languages, e.g. Python, R, Java, C++, etc. Prior experience building scalable data processing pipelines with big data tools such as Hadoop, Hive, SQL, Spark, etc. A bias towards solving problems from a customer-centric lens and an intuitive sense for how the work aligns closely with business objectives Ability to thrive in a dynamic environment with ambiguity About Wayfair Inc. Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.

Ashland, Oregon, Blackstone Publishing is currently seeking a Sales Analyst with an entrepreneurial spirit, passion for sales and a proven track record of success, who takes a hands-on approach to building business opportunities.  The ideal candidate relishes the “thrill of the hunt”, constantly winning new business and earning the respect and admiration of colleagues and clients alike.  The role of Sales Analyst at Blackstone Publishing will collect and analyze data to evaluate existing and potential clients, markets, products and business opportunities.  Our Sales Analyst will research and evaluate economic, competitor, market, industry and customer growth trends and conditions.  In this position, the responsibility of the Sales Analyst will be to educate our management team with the development of analytic plans supporting sales channel leadership.   Essential functions include the following : Research and evaluate current sales trends by genre and/or other subcategory requested by management Recommend changes in current techniques, procedures or promotional efforts based on market research and new trends Develop analytic plans supporting sales channel leadership Support assigned customers, categories and titles through providing data analysis and support on customers, merchandising, opportunities and operations Utilize in-house systems, extract, clean, and organize data sets and reports for sales group Work with Sales management to ensure accurate monthly & annual sales estimates for A&P budgets Work with Sales management to maximize and update data procedures with Amazon.com Maintain and develop report suites that track sales in the US and globally Set up, manage, and streamline the internal systems and processes for accurate sales reporting and analytics across the business   About Blackstone Publishing:   Publishing great books by talented writers and forging connections with readers for the long-term.   In 1987, in a small garage in Southern Oregon, Blackstone was born. Founded by Craig and Michelle Black, the early days consisted of a small handful of family members and employees working out of their home, building the business one cassette tape at a time. With a fresh perspective on the reading experience, Craig and Michelle, along with their trusted team, found new and innovative methods to not only produce and distribute audiobooks, but also pioneered creative ways to collaborate with publishers, booksellers, and the audiobook listening community. 2017 marked Blackstone’s 30th anniversary, and the company continues to grow, innovate, and further the ascendancy of the overall audiobook business. To date, we've produced over 15,000 audiobooks, releasing 150+ new titles each month.   Our new print publishing venture is built upon this foundation. Our goal is to publish groundbreaking books (fiction and nonfiction) by talented writers, and to forge long- term connections with readers, booksellers, librarians, and the overall publishing community. We’re thrilled to be working with bestselling authors like James Clavell, Adrian McKinty, PC and Kristin Cast, Shelley Shepard Gray, Don Winslow, Catherine Coulter, Cory Doctorow and more to publish print books, e-books, and audiobooks, furthering our commitment to bringing quality, entertaining stories to as many people as possible, in the most creative and innovative ways imaginable.   Blackstone Benefits: We offer a competitive salary commensurate with experience, plus Medical, Dental and Vision Insurance, Paid Time Off, Holiday Pay and retirement planning with company matching! We are an equal opportunity employer and encourage diversity in our workplace. Apply TODAY!   Qualifications: Minimum Bachelor’s degree in one of the following: Math, Statistics, Accounting or Business Analytics or equivalent related experience Strong knowledge with reporting and BI tools (Tableau, PowerBI or other), databases (SQL or other) Proficient with Microsoft Suite (Excel) Excellent communication skills and the ability to host presentations Experience with coding and computer engineering is a plus This position requires strong analytical, organizational, decision making, and presentation skills.

Lake Buena Vista, Florida, Job Description The Disney Decision Science and Integration (DDSI) analytics consulting team is responsible for supporting clients across The Walt Disney Company including Direct-to-Consumer & International, Media Networks (e.g., ABC, ESPN), Studio Entertainment (e.g., The Walt Disney Studios, Disney Theatrical Group) and Parks, Experiences & Consumer Products. DDSI leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. The Data Engineering team (within DDSI) is seeking candidates for roles at multiple levels. The specific job level for an individual candidate will be determined based on their education, prior experience, and demonstrated technical and leadership proficiencies. The team is involved in various activities ranging from data acquisition and validation, designing and implementing ETL/ELT data pipelines, designing and implementing databases, and evolving our next generation data platform to fulfill the needs of our applications, data services, ad-hoc analytics and self-service/POC initiatives.   Responsibilities Work assignments may cover activities such as data requirements gathering, source-to-target mapping, data validation scripting and review, data visualization, developing and monitoring ETL/ELT data pipelines, designing and implementing database schema/tables/views, implementing data services API’s, performance tuning, and evolving our data analytics platform. Beyond the needs of projects, team members may participate in the architectural evolution of our data engineering patterns, frameworks, systems, and platforms including defining best practices, standards, principles, and policies. Technologies generally leveraged to fulfill the work include, but not limited to, SQL, Python, Spark, PySpark, SparkSQL, Hadoop/Hive, Docker, Gitlab, Airflow, Kafka, Lambda, Snowflake, and PostgreSQL. Basic Qualifications Experience with Python Experience with SQL Knowledgeable in designing, building and maintaining ETL/ELT data pipelines Strong understanding of relational database design and proficiency utilizing a database such as PostgreSQL, Teradata, Redshift or MySQL, Snowflake Solid understanding in the differences between application databases vs. data warehouses vs. data lakes Preferred Qualifications Experience working with large datasets and big data technologies, preferably cloud-based, such as Snowflake, Databricks, or similar Knowledgeable on cloud architecture and product offerings, preferably AWS Experience with developing in a multi environment (Dev, QA, Prod, etc.) and procedures for code deployment/promotion. Experience managing and deploying code using a source control product such as GitLab/GitHub Experience with Spark, PySpark and/or Scala Experience utilizing Hadoop and/or Hive Experience leveraging containerization technologies such as Docker or Kubernetes Familiarity with data streaming vs. batch data processing Hands-on knowledge of job scheduling software like Apache Airflow, Amazon MWAA, or UC4 Experience leveraging AWS Glue, Apache Kafka, Talend or Apache NiFi Understanding of NoSQL databases and best use scenarios for products such as MongoDB, Cassandra, Neo4J or Redis Involved in driving best practices around data engineering software development processes Required Education Bachelor’s degree (Computer Science, Mathematics, Engineering or related field preferred) Preferred Education Master’s degree (Computer Science, Mathematics, Engineering or related field preferred)

Saint Louis, Missouri, About Benson Hill Benson Hill empowers innovators to develop more healthy, tasty and sustainable food by unlocking the natural genetic diversity of plants. Benson Hill’s CropOS™ platform combines machine learning and big data with breeding techniques and plant biology to drastically accelerate and simplify the product development process. This platform allows for cost-effective and more efficient ways for companies to analyze and make improvements in plant genetics. Benson Hill brings a unique and holistic approach to our product and platform development, as we span a broader workflow involving trait and seed development, genome editing, and breeding all the way to creating better ingredients and varieties that tap a strong consumer demand for more flavorful and nutritious fruits and vegetables. More information can be found online at  www.bensonhill.com . Follow us on Twitter at  @BensonHillInc. Our Purpose and Core Values Our Core Values are a set of common principles we share that are fundamental to our company’s identity . Be Bold!   We redefine boundaries by providing new solutions to difficult problems. Together we are driven to transform the future and will not allow the fear of failure to prevent us from innovating. We voice our opinions, embrace change, and challenge each other to think creatively. Be Inspired! We have purpose in our work-we are curious, engaged, and have fun. We maintain an active learning mindset and are motivated by diverse people and thoughts. We are energized by all innovators and together we aim to make an impact and contribute to building a better world. Be Real! We understand who we are, what we want to achieve, and what it takes to get there. We hold each other accountable through timely, candid, and well-intentioned feedback. Together we engage in honest communication and healthy debate that leads to success through true alignment.   Department Overview The Data Science & Platform Engineering Department leads the development of Benson Hill’s crop design platform, CropOS ™ which combines machine learning and big data with genome editing and plant biology to accelerate and simplify the product development process. The team partners with the Research & Development teams on the development of a portfolio of offerings (commercial, product, or platform related) that meet the needs of Benson Hill’s business units.   Position Summary We are actively seeking an innovative Senior Data Scientist with background in image analysis, computer vision and machine learning to join our rapidly growing CropOS Department. The candidate will have in-depth understanding of practical imaging applications, sensors & techniques and be able to independently create engineered technical solutions to a wide range of applied imaging problems requiring collaboration with key stakeholders.  You Will: (Essential Duties and Responsibilities) Work closely with plant scientists, laboratory managers, software engineers and data scientists in a dynamic research environment Design and implement sophisticated end-to-end solutions for hyperspectral and NIR image-based solutions for that will supplement wet lab assays. Contribute to projects that use statistical modeling and other analytics solutions in the CropOS food Innovations data science team. Identify opportunities for innovation and business improvements through applications of data science Effectively communicate results in written and visual format to other scientists and project stakeholders. Keep up with state-of-the-art methods in deep learning and apply them to improve and create new solutions   You Have: (Competencies and Qualifications)   Required PhD with 5 or Master’s with 8 years of experience applying machine learning methodology across multiple domains and with a variety of business objectives. Graduate education in Image Analysis, Remote Sensing, Computer Science, Pattern Recognition, Computational Photography, Machine Vision or Artificial Intelligence. Knowledge of advanced machine learning, classification, clustering and statistical approaches. Expertise in image data collection, feature extraction and development of ML models based on image data. Experience in benchmarking and model performance evaluation and improvement. Experience organizing and planning complex projects and ability to multi-task in a fast-paced work setting. Fluency in Python, R or other programming and scripting languages. Experience using a variety of ML packages and libraries such as scikit-image, TensorFlow, PyTorch, Keras, etc. Preferred Qualifications Experience in Computer Vision, Convolutional Neural Networks, Deep Learning and Generative Models for Imaging Applications. Experience with application of machine learning to hyperspectral and near-infrared (NIR) image data. Experience working with containerized applications and orchestration such as Docker Swarm , Kubernetes and Airflow. Experience with cloud-based AI platforms such as Domino Data Lab, Amazon Sagemaker, Vertex AI or others. Familiarity with data engineering, data storage methodologies and technology platforms.

Information Systems Research, Ahead of Print.

Information Systems Research, Ahead of Print.

Information Systems Research, Ahead of Print.

Information Systems Research, Ahead of Print.

Information Systems Research, Ahead of Print.