3 jobs found in Belfast

Who we want Do you want to work on something that you, your friends, family and hundreds of millions of others use every day, and actually makes you smarter about how you spend your money?  What if you could do that with a bunch of really smart people in an environment that actively encourages learning, growth and individual development?  For good measure, we'll even throw in the opportunity to explore technology from the UI to the database, and everything in between, all while working on products that world's biggest brands rely on in order to maintain their place among the world's biggest brands. Every day, the Bazaarvoice engineering team tackles interesting and challenging problems across virtually every major computer science problem domain, and we do it all at a massive scale.  Whether you're interested in server-side Java, UI/UX, massive datasets, mobile/social, natural language processing, sentiment analysis, or data visualization, we've got an opportunity for you. Essential Criteria: Bachelor’s degree - Computer science or equivalent. 5+ years of software development experience. AWS or equivalent Cloud Platform experience. Demonstrated experience in a server side language such as Java or Scala, C#, Javascript, PHP, Python, or equivalent. Experience working within an agile team. Strong knowledge of data structures, algorithm, enterprise systems, and asynchronous architectures. Demonstrated experience with Github, Git, or equivalent. Right to work in the United Kingdom Desired Criteria: Proven results-oriented person with a proven track record of delivery. MapReduce experience or Elastic MapReduce. Ability to adapt to new development environments and changing business requirements. Experience with machine learning, NLP, AI, and machine vision learning tools. Experience with NoSql databases. Experience with large distributed applications, additionally building/operating highly available systems. Be able to Work well in a team environment and be able to effectively drive cross-team solutions that have complex dependencies and requirements. Be hands-on, willing to dig in and crank out code. Be focused on learning, able to explore new areas, learn new things, and quickly apply them to new problems. Be a spark, bring energy, passion and creativity to work every day. If this sounds like you, or someone you know, please give us a shout!  We'd love to talk to you directly about the opportunities that Bazaarvoice has for you About Bazaarvoice  Bazaarvoice connects brands and retailers to consumers, so that every shopping experience feels personal. From search and discovery to purchase and advocacy, Bazaarvoice’s solutions reach in-market shoppers, personalize their experiences, and give them the confidence to buy. Each month in the Bazaarvoice Network, more than a billion consumers view and share authentic content including reviews, questions and answers, and social photos across 6,000 brand and retail websites. Across the network, Bazaarvoice captures billions of shopper signals monthly - data that powers high-efficiency digital advertising and personalization with unmatched relevance. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, and Australia. For more information, visit  www.bazaarvoice.com . Why join Bazaarvoice? We’re committed to client success: There are over 5K brand and retail websites in the Bazaarvoice network. Our clients represent some of the world’s leading companies across a wide range of industries including retail, apparel, automotive, consumer electronics and travel . We’re leaders in consumer-generated content: Each month, more than one-half billion consumers view and share authentic consumer-generated content, such as ratings and reviews, curated photos, social posts and videos, about products in our network. Last year, 135K reviews were submitted each day Our network delivers: Network analytics provide insights that help marketers and advertisers provide more engaging experiences that drive brand awareness, consideration, sales, and loyalty. We’re a great place to work: We pride ourselves on our unique culture. Join a company that values passion, innovation, authenticity, generosity, respect, teamwork, and performance. Commitment to diversity and inclusion Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities. Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the world’s smartest network of consumers, brands, and retailers.

Who we want Are you passionate about big data?  Does running 20,000 reducers and 10,000 mappers excite you?  Are you amazed thinking about using 60 instances of AWS  R4.8Xlarge  all at 100% CPU, 100% Memory (14 TB), and 100% network utilization with a 13x data explosion?    You may not have heard of Bazaarvoice, but you probably have used our software on a regular basis…   We provide consumer generated content to over 700 million devices and ½ billion unique users every month.  That content is hosted and collected on over 5000 brand and retail websites around the world.  Our Mission: build the world’s smartest network of consumers, brands, and retailers.  If you want to build software that impacts over 500 million users, helping them make smart buying decisions, work with large data sets, build large distributed systems, and more, then take a look at then take a look at the requirements below and submit your CV…even if your just close.  Essential Skills - BSc in Computer Science or equivalent (education or work based) 3+ years building software in a commercial environment (preferably SaaS) 2+ years’ experience with one or more of the following Java, Scala, C#, or similar language Working knowledge of at least one scripting language – Python, Bash, JavaScript, etc Able to demonstrate software engineering fundamentals such as OO design, unit testing, code reuse, code reviews, run time analysis, etc.   Desired Criteria - Familiarity with one or more big-data infrastructures such as Hbase, Hadoop, Mongo, Cassandra, or RDBMS. AWS experience including one or more of the following Cloudformation, EMR, S3, EC2, Cloud Trail, etc. Experience in the design, implementation, and support of major components of an analytics solution. Experience with Storm or Spark Familiar with Maven, Hudson, Git, etc.- Working with TB+ size data sets Performing large-scale analytics using Map/Reduce Demonstrated experience in the design and development of large scale, performant, and fault tolerant applications Experience in defining data to be captured, how it would be aggregated, and how to implement those mechanisms Experience and passion in working on agile teams using Scrum, Kanban, or similar Nice to have experience building large-scale data processing systems with extensive knowledge in data warehousing solutions. This includes developing prototypes and proof-of-concepts for the selected solutions. An understanding and experience building high-performance algorithms About Bazaarvoice   Bazaarvoice connects brands and retailers to consumers, so that every shopping experience feels personal. From search and discovery to purchase and advocacy, Bazaarvoice’s solutions reach in-market shoppers, personalize their experiences, and give them the confidence to buy. Each month in the Bazaarvoice Network, more than a billion consumers view and share authentic content including reviews, questions and answers, and social photos across 6,000 brand and retail websites. Across the network, Bazaarvoice captures billions of shopper signals monthly - data that powers high-efficiency digital advertising and personalization with unmatched relevance. Founded in 2005, Bazaarvoice is headquartered in Austin, Texas with offices in North America, Europe, and Australia. For more information, visit  www.bazaarvoice.com .  Why join Bazaarvoice ? We’re committed to client success: There are over 5K brand and retail websites in the Bazaarvoice network. Our clients represent some of the world’s leading companies across a wide range of industries including retail, apparel, automotive, consumer electronics and travel. We’re leaders in consumer-generated content: Each month, more than one-half billion consumers view and share authentic consumer-generated content, such as ratings and reviews, curated photos, social posts and videos, about products in our network. Last year, 135K reviews were submitted each day. Our network delivers: Network analytics provide insights that help marketers and advertisers provide more engaging experiences that drive brand awareness, consideration, sales, and loyalty. We’re a great place to work: We pride ourselves on our unique culture. Join a company that values passion, innovation, authenticity, generosity, respect, teamwork, and performance. Commitment to diversity and inclusion Bazaarvoice provides equal employment opportunities (EEO) to all team members and applicants according to their experience, talent, and qualifications for the job without regard to race, color, national origin, religion, age, disability, sex (including pregnancy, gender stereotyping, and marital status), sexual orientation, gender identity, genetic information, military/veteran status, or any other category protected by federal, state, or local law in every location in which the company has facilities. Bazaarvoice believes that diversity and an inclusive company culture are key drivers of creativity, innovation and performance. Furthermore, a diverse workforce and the maintenance of an atmosphere that welcomes versatile perspectives will enhance our ability to fulfill our vision of creating the world’s smartest network of consumers, brands, and retailers.

At Signifyd we’re creating a new market. We’re constantly improving and expanding the technology that has changed what fraud protection for e-commerce looks like. So we don’t have time for office politics. We understand that different people have different work styles and we thrive on variety while learning from each other. We’re all Signifyers, so we know that what needs to get done will get done. Signifyd is a place where no one is going to tell you how to do your job. If you want help, you'll get it — from all quarters. But we pretty much figure out what needs to be done, who's in the best position to do it and then let that person roll-up her or his sleeves and have at it. We're protecting retailers from online fraud in a way that's never been done before and we could use your help if you're someone: Who believes challenges are best overcome by thinking differently. Who knows his or her role, but isn’t confined by it. Who’s greatest satisfaction comes from helping customers succeed and achieve their dreams. Who isn’t afraid to disagree, convincingly, civilly and honestly. Who will stop and hold the door for a colleague, even if you’re running late. Oh, and a few particulars for this role: You will have the opportunity to apply your knowledge of machine learning, statistics and your analytical skills to develop models detecting fraud patterns. You will ideate, test and deploy advanced predictive signals to improve fraud detection performance. You will collaborate with other data scientists and engineers to build data pipelines, do feature prototyping, and write production-grade code to implement analytical algorithms and flexible strategies. Specific job duties may include:   Writing or modifying data pipelines to process and mine historical data Processing and analyzing data collected with research prototypes Ideation, prototyping, measuring predictive features transforming data into actionable information Prototyping and validating models and algorithms to boost model performance  Writing production code (python, SQL, etc.) to deliver analytics content Required Skills and Experience: An advanced degree (M.S. or Ph.D) in computer science, applied mathematics, or a comparable analytical field from an accredited institution Expert proficiency with an advanced data analysis toolkit (such as python/matplotlib, R, ROOT, etc.) Superior SQL skills with proven experience in relational databases and data warehouses 5+ years of demonstrated fluency with python and at least one other programming language 2+ yrs of experience with NoSQL databases and unstructured data 2+ yrs of experience setting up and using distributed/parallel processing frameworks such as Spark, Hadoop, Storm etc. is a big plus Demonstrated ability to develop high-quality code adhering to industry best practices (i.e., code review, unit tests, Gitflow) Possession of core analytics skills and expertise (as demonstrated by prior work): Knowledge of applied statistics and key concepts underlying statistical inference and inductive reasoning Experience designing experiments and collecting data Experience developing models based on sensor data, and an understanding of error propagation and the limitations of data subject to measurement uncertainties Demonstrable expertise in one or more areas: applied mathematics, predictive analytics, expert systems, ANNs/deep learning, graph theory, Markov Chain Monte Carlo, geo-informatics (GIS), language processing, risk analysis Work/project history reflective of a self-motivated professional who excels when given open-ended problems and broadly-defined goals, having an innate desire to discover the patterns and relationships in data that can be leveraged to provide business value All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law. Posted positions are not open to third party recruiters/agencies and unsolicited resume submissions will be considered free referrals.