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02【职位推荐】Data/Software相关职位

1

Software Engineering Intern

Job Type: Internship Location: CA/TX/MD

Responsibilities As a Software Engineering Intern, you’ll become a key contributor where your skills and input make a big difference. In this role, you’ll design embedded software and development tools that will be used to test products. You’ll write code that tells chips how to operate in revolutionary new ways. And, you’ll work closely with business partners and customers, as well as TI’s marketing, systems and applications engineering teams, to collaborate and solve business problems.  Qualifications • Currently pursuing a degree in Electrical Engineering, Electrical and Computer Engineering, Computer Engineering, Computer Science or related field  • Minimum Cumulative 3.0/4.0 GPA  • C programming skills  • Familiarity with assembly language programming  • Knowledge of software engineering processes and the full software development lifecycle

2

Summer 2020 Business Process Technology (IT) Internship

Job Type: Internship Location: Racine, WI

Responsibilities • Code high-volume software using primarily C++ and Java • Create web applications using primarily PHP • Implement web interfaces using XHTML, CSS, and JavaScript • Build report interfaces and data feeds Qualifications •1 or more years of experience with perl, java, php, python, or c++ • Must be currently enrolled in a full-time, degree-seeking program and in the process of obtaining a Bachelors or • Masters degree in Computer Science or a related field • Intent to return to degree-program after the completion of the internship/co-op • Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications • Intent to return to degree-program after the completion of the internship/co-op • High levels of creativity and quick problem-solving capabilities

3

Software Engineer, Intern/Co-op

Job Type: Internship Location: MA/NY/DC/CA

Responsibilities • Design and implement machine and deep learning algorithms for full motion video, time series, social media, network, and text analytics •Design and development of the architecture and framework for a cloud-based analytics as a service platform to handle high volume data •Design, develop, and integrate web services to support existing production applications  •Design, enhance, and maintain existing software products perform upgrades to existing live production software applications •Support monitoring of deployed services and applications Qualifications • Eager and motivated to perform research, learn and develop new technology. •Machine/Deep Learning Libraries: TensorFlow/Keras/PyTorch, OpenCV, Matlab •Cloud, big data tools and frameworks such as Hadoop ecosystem: Kafka, Solr, Spark/Storm •Frameworks such as Grails, Spring, Jetty, Pyramid/Flask •Programming languages/platforms: Python, Java/JDK, HTML5, JavaScript, C/C++ •Database experience: MongoDB, MySQL/SQL, InfluxDB, Prometheus, Accumulo  •Configuration Management and Test Tools: Git, Maven, Gradle, Jenkins, JUnit  •Logging and Monitoring: ELK stack, Grafana, log4j •Operating Environment/Services: Linux, Windows, Android/iOS, LDAP, Kerberos

4

Data Science Consultant

Job Type: Internship Location: Remote

Responsibilities • Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner; • Execute and teach application of statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large, unstructured data sets to identify trends, figures and other relevant information; • Lead conversations with clients and other colleagues to effectively integrate and communicate analysis findings; • Evaluate emerging datasets and technologies and help define our analytic platform; • Contribute to thought leadership through research and publication; Qualifications •This is an entry-level position, a Bachelor or Master’s degree in quantitative discipline is preferred. Candidates from other areas with great skillsets are also welcome. • Understanding of statistics (e.g., Bayesian, Frequentist, etc.); extensive experience with running statistical analyses using a variety of methods to drive decisions. • Professional experience with advanced regression analysis, probabilistic modeling, and/or machine learning / predictive analytics, including the ability to use tools like Python, R, etc. • Understanding of relevant tools/platforms (e.g. database systems); • Understanding of Agile project planning and project management; • Team management and skill development experience; • Excellent oral and written communication skills; • Strong attention to detail, with a research-focused mindset; • Excellent critical thinking and problem-solving skills; • High motivation, good work ethic and maturity.

5

Quant/Data Science

Job Type: Internship Location: New York, NY

Responsibilities • Data collection and analysis of securities (as well as crypto currencies) and investment positions. • Building pattern recognition models that identify attractive and unattractive stocks using systematic multivariate frameworks. • Perform independent validation of analytical models and frameworks, including assessment of conceptual soundness of models, proper application of statistical theories, evaluation of data and assumptions, and performing outcomes analysis (e.g. back-testing and bench marking). • Understanding of traded products, an appreciation of market risk methodologies and the underlying data challenges. Qualifications BS/MS in quantitative discipline from a top-rated university. Solid mathematical background and knowledge of finance, math, statistics, economics principles. Experience performing statistical analysis and knowledge of econometrics. Programming/computational background with working knowledge of Python/Matlab, Excel/VBA, C++, and SQL.Previous use of financial data-sets for personal investing exploration. Understanding of securities analysis(balance sheet and income statement analysis), valuation and earnings forecasting methods. Methodical, diligent, and systematic in approach to problem solving and model building. A self-starter able to research independently and also demonstrate strong interpersonal skills and work ethic. Necessary to communicate and interact within a team-oriented environment.

6

Data Engineering Intern

Job Type: Internship Location: New York, NY

Responsibilities •  Improve and extend fault-tolerant data pipelines to integrate large amounts of data from many diverse storage systems. •  Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers. •  Stay current with the latest research and technology and communicate your knowledge throughout the enterprise •  Take responsibility for preparing data for analysis and provide critical feedback on issues of data integrity Qualifications • Degree Level: BS or MS in Computer Science or other  engineering discipline • Very strong programming skills in Scala, Java or Python • Good communication and team working skills

03【职位推荐】Marketing 相关职位

1

Digital Marketing Strategist

Job Type: Full-time Location: New York, NY

Responsibilities •  As a digital marketing strategist, you’ll manage the development, delivery and execution of customized digital marketing efforts for clients that address sales, marketing and lead nurturing funnel goals. •  Leverage social media, SEO, SEM, eMail, content development, advertising, and more. •  Recommend and implement new ideas and innovations to improve each digital channel as well as customer account performance. •  Provide insights and analysis on all campaign key performance indicators (KPIs) and performance metrics. •  Manage campaign performance reports and share results across teams to ensure constant program evolution •  The digital marketing strategist leads their campaigns but also collaborates with internal stakeholders to maximize marketing efforts while reinforcing customer brand, presence and voice. •  Partner closely with sales team on project kickoffs. Qualifications • 2-3  years’ experience setting marketing strategy for B2B businesses • Deep knowledge of digital/new media marketing techniques. • Experience in a digital marketing strategist or similar role required • Creative thinker, who is an assertive problem solver with an analytical mind • Experience targeting specific goals, focused metrics and KPIs when setting strategy. • High proficiency with best practices for SEO, social media, email marketing, and blog writing • Knowledge of Hubspot and the manufacturing industry a strong plus.

2

Analyst, Consumer Insights – Market Trends

Job Type: Full-time Location: New York, NY

Responsibilities • Market Share Event Tracking Analysis & Category Assessments: • With supervision, develop and produce error free deep dive analysis presentations to provide key insights to the merchant/marketing community using the NPD data and incorporate existing resources (Mintel, Kantar, NRF, L2 etc) to add more depth to NPD databases and cover the businesses where NPD data is unavailable • Partner with primary research and customer engagement counterparts to bring the “Big Picture” view, where appropriate • Present Reports to requestee/senior management when appropriate • Assist in L&D training and Office Hours as needed • Work with supervisor on Ad Hoc projects • Stay abreast of industry trends by constantly monitoring and managing calendar of available industry reports, online publications and webinars (e.g. NPD, Kantar Retail,  Mintel, Women’s Wear Daily, NRF) and providing brief summaries of • Consumer Trend to Marketing/Merchandising teams as appropriate • Regular, dependable attendance and punctuality. Qualifications • BA/BS degree with outstanding academic track record – business, statistics or market research degree a plus. Masters in Marketing a plus • Ideally at least 2 – 4 years of experience with industry, competitive and/or customer analysis; previous retail/merchant experience a plus • Knowledge of and a passion for retail industry (reader of fashion magazines and industry publications such as WWD) and experience with apparel/footwear/accessories/home/beauty retailing a plus

3

Integrated Demand Planner

Job Type: Internship Location: Santa Clara, CA

Responsibilities • Development and Management of model/style/sku level demand plan for one or more Line Plan Businesses • Develop and maintain an accurate style level demand plan using both quantitative inputs – historical data, trend information, sales forecasts – and qualitative inputs such as Sales, Marketing and Merchandising feedback • Pressure test forecasts against bookings, replenishment assumptions and updated accuracy metrics • Actively manage risks and opportunities to the plan and partner with Sales, Marketing and Merchandising to keep assumptions current. • Lead the monthly Demand Consensus process for all Channels (Wholesale and DTC) for both US and Canada • Close collaboration with Sales, Merchandising, Product Marketing, Finance and Supply Planning • Represent NA Demand Planning & Forecasting in the Go To Market process, from Global Line Review through Line • Confirmation adhering to the published Forecast Calendar Selection and Maintenance of system size curves and analysis of fill rate performance at the sku level • Manage and analyze the Sales Forecast input for one or more Line Plan Businesses. Demonstrate knowledge of select customers and channels and understand their impact on the demand plan. Qualifications • Four-year college degree and a minimum of 4 years related experience (Demand Planning, Supply Chain or equivalent) • Experience in Forecasting, Merchandising, Sales Planning, Demand Planning, or Supply Planning; and associated software and reporting tools • Strong written and verbal communication and interpersonal skills with an emphasis on problem solving, conflicting objectives, and influencing decision making • Strong strategic thinking and analytical/quantitative skills. • Ability to adapt quickly to changing priorities and manage time, multiple tasks, and deadlines effectively. • Ability to ensure robust tracking, monitoring, and analysis (self or department) • Occasional travel required