DATA ENGINEER

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This is an exclusive opportunity to work as a Data Engineer in one of the fastest growing e-commerce start-ups based in California. We are looking to expand our technical team with a Data Engineer to invest more in data driven technologies.

Key Qualifications

  • Design, develop, and implement large-scale distributed systems that process large volume of data; focusing on scalability, latency, and fault-tolerance in every system built.
  • Design, develop, and operate web analytics solutions processing millions on daily clickstream events.
  • Create systems that orchestrate and execute complex workflows in big-data pipelines.
  • Evaluate and fine tune systems for speed, robustness, and cost efficiency.
  • Create datasets, tools, and services supporting big data, search and machine learning operations.
  • Own full life-cycle of business solutions from requirements definition to launching in production.
  • Troubleshoot business and production issues.
  • Own multiple systems across the search big data platforms, and work with engineers, program managers, and engineering leaders to identify opportunities for business impact.
  • Participate in setting a vision and objectives for the team in alignment with business and market needs.

Description

Description
You’ll be responsible for design, development and operations of large-scale data systems within the DigigGamma ecosystem. You will be focusing on real-time indexing pipelines, streaming analytics, distributed machine learning infrastructure and other tasks as part of Search BigData team. You’ll interact with the engineers, product managers and architects to provide scalable robust technical solutions.

Qualifications

  • Bachelor’s degree in Computer Science or related technical field.
  • 4+ years of object-oriented programming experience in Java or Scala.
  • 3+ years of experience in building of large scale data pipelines using big data technologies (i.e. Spark/Kafka/Cassandra/Hadoop/Hive/Presto/Airflow).
  • 3+ years of experience in systems design, algorithms, and distributed systems.
  • 3+ years of experience in scripting languages (e.g. Python), and SQL.

Skills

  • You’ll need to have:
  • Large scale distributed systems experience, including scalability and fault tolerance.
  • Exposure to infrastructure management tech (Docker, Kubernetes)
  • Exposure to cloud infrastructure, such as Open Stack, Azure, GCP, or AWS
  • A continuous drive to explore, improve, enhance, automate and optimize systems and tools.
  • Strong computer science fundamentals in data structures and algorithms
  • Exposure to information retrieval, statistics and machine learning.
  • Excellent oral and written communication skills.

What we offer:

  • Remote work once a week
  • Flexible schedule
  • Positive spirit within a top on the line international team
  • Share the glory of disrupting the fintech landscape
  • Challenging projects and freedom to experiment
  • Continuous learning: free English classes, IT certifications, technical events, budget for book or online training sites
  • Standard perks: free coffee / tea/ fruits, no dress code
  • Team buildings and regular parties

BUSINESS ANALYST

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Responsible for the overall strategic roadmap and day-to-day management of a portfolio of business activities and e-commerce capabilities (products) which support the customer experience on GammaBilling.com and their affiliated partners. This includes competitive assessments and ongoing performance analysis, as well analysis and incorporation of direct customer and stakeholder feedback, to drive continuous improvement and roadmap development and execution through clearly defined product requirements. Will work closely with other members of the e-commerce team as well as various internal and external partners in execution of their assigned responsibilities.

Key Qualifications

  • Translate high-level business problems into more specific questions which can then be answered by data-driven analysis and recommendations.
  • Transform complex concepts into executable plans, clearly defined requirements, and optimized customer experiences.
  • Data-mining using internal databases and external tools
  • Provide trend analyses, forecasts, and market snapshots for the team
  • Communicate areas of success and opportunity across products, channels, regions, etc.
  • Use market research, customer feedback, and web analytic data to understand customer and business needs and identify new opportunities to define and periodically refine a product roadmap.
  • Anticipate and understand industry and product, within BI and other digital marketing trends
  • Serving as an expert on e-commerce capabilities and best practices, including analysis and documentation of competitor best practices.
  • Proactively manage the product roadmap including capability prioritization and tradeoffs, balancing business objectives, customer needs, and technical constraints.
  • Work with business, technical, and user experience stakeholders to manage product suite development in an integrated retail environment.
  • Develop innovative analytical methodologies to answer strategic questions across the organization and empower others to apply your methodology to new problems.
  • Present data with a clear point of view so that insights can be used to help drive business strategy

Description

Description
GammaBilling brings together world-class experts to develop groundbreaking products at the intersection of hardware, software, and content. We have a clear mandate to deliver products at scale. In particular, seemingly products that define new categories that advance GammaBilling’s mission of connecting the world. The GammaBilling team will operate on aggressive, fixed timelines, with extensive use of partnerships in, small and large businesses. The Product Launch Team has the responsibility for taking breakthroughs and delivering them to market at scale.

Qualifications

  • 3+ years related of data analysis experience
  • Bachelor’s Degree in Marketing/Business or accounting, economics, statistics, information science preferred but not required
  • Experience managing and manipulating large volumes of data
  • Ability to manage and execute large projects; meet tight deadlines on short notice, and multi-task
  • Possess strong writing and editing skills and understand appropriate grammar, spelling and punctuation rules
  • Proficient in SQL, Access, Tableau, Sisense
  • Experience in Google Analytics and other web analytics tools preferred but not required
  • Data Entry, Databases, Microsoft Excel, Independent Research
  • Ability to learn anything new quickly and be able to MVP that new concept to a product in short turnaround

Skills

  • You’ll need to have:
  • Organized with exceptional project management skills and a natural cultural leader with a high level of autonomy.
  • You are highly analytical with exceptional communication, strategy, and execution skills
  • Have experience working within large datasets and passionate about leveraging technology while solving complex business problems.
  • You are able to tell stories with data,

What we offer:

  • Remote work once a week
  • Flexible schedule
  • Positive spirit within a top on the line international team
  • Share the glory of disrupting the fintech landscape
  • Challenging projects and freedom to experiment
  • Continuous learning: free English classes, IT certifications, technical events, budget for book or online training sites
  • Standard perks: free coffee / tea/ fruits, no dress code
  • Team buildings and regular parties

DELL LOST CONTROL OF KEY CUSTOMER SUPPORT DOMAIN FOR A MONTH IN 2017

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A Web site set up by PC maker Dell Inc. to help customers recover from malicious software and other computer maladies may have been hijacked for a few weeks this summer by people who specialize in deploying said malware, KrebsOnSecurity has learned.

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DATA SCIENTIST

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Responsibilities:

• Perform ad-hoc data analysis producing valuable insights to business stakeholders
• Explore data answering questions and finding new business opportunities
• Clean, transform, compute and verify the integrity of data used for analysis
• Work with business stakeholders to develop new KPIs that provide useful insights
• Work with the Business Intelligence team, providing them with requirements for the development of new KPIs and data pipelines
• Using a distributed computing system, develop predictive models for insight purposes
• Work with the data engineer and development teams to deploy automatic optimizers into production systems
• Select, build and optimize features using machine learning techniques
• Responsible for testing and validating the validity of new models
• Propose and promote any team work and/or process improvements.

Qualifications:

  • University degree in Computer Science, Mathematics or related field;
  • At least 3 years of experience doing data analysis and machine learning;
  • Experience with at least one data science language like: R or Python;
  • Experience with data visualization tools like: ggplot2, Matplotlib or Plotly;
  • Experience with reproducible research tools like: RMarkdown, Jupyter Notebook or Databricks Notebooks
  • Experience with relational databases like: MySQL, PostrgreSQL or SQLServer;
  • 3+ year’s experience of Jupyter;
  • 3+ year’s experience of Mysql;
  • 4+ year’s experience of Python;
  • 4+ year’s experience of R;
  • Strong statistical analysis skills;
  • Excellent understanding of machine learning techniques and algorithms, such as Logistic Regression, k-NN, Naive Bayes, SVM, Decision Forrest and Artificial Neural Networks;
  • Experience with Spark or other distributed computing systems is a great asset;
  • Passionate about data;
  • Bilingual (Dutch/English, spoken and written), required;
  • Fluent in French, required.

Personal Attributes:

• Strong organizational, problem solving, and analytical skills are a must;
• Able to communicate complex concepts to non-technical stakeholders;
• Self-motivated individual who takes ownership and able to work with a minimal supervision;
• Creativity and ability to innovate with ideas and concepts;
• Comfortable in a fast-paced environment.