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You are passionate about data. You are driven by curiosity and enjoy problem-solving. Managing time and deadlines comes naturally to you. You’re known for your impeccable organization. Details matter to you. You’re committed to delivering high quality results for your clients!

Responsibilities:

• As a Data Analyst, you will play a critical role in delivering first-class evaluations and measurement options based on data to support client decision making in a reliable and efficient manner.

• Integrate, assemble, summarize, validate, and disseminate data from numerous disparate systems (flat files, spreadsheets, relational databases, etc.) to present recommendations to clients.

• Use data blending tools to generate summary reports from multiple data sources.

• Identify anomalies within the data, comply with all Best Practices, Rules of Engagement and Data Protocols.

• Adhere to project timelines and contracts.

Qualifications

• Bachelor’s degree in a technical or business field (Still studying or recently graduated).

• 0-2 years experience.

• High proficiency with Excel

• Self-motivated and works well independently

• High proficiency with English

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Job brief

We will rely on you to build data products to extract valuable business insights.

In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions.

Responsibilities

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams

Requirements

• Proven experience as a Data Scientist or Data Analyst
• Experience in data mining
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Analytical mind and business acumen
• Strong math skills (e.g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

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As a Senior Data Engineer, you will design, implement, and maintain big data pipelines responsible for aggregating tens of billions of daily transactions. You will be part of a growing team to develop and mature their capability in video ad verification, analytics, and anti-ad fraud software products. The ideal candidate is naturally curious, dedicated, detailed-oriented with a strong desire to work with awesome people in a highly collaborative environment. You should be able to not take yourself too seriously as well.

What you’ll do:

• Architect, design, code and maintain components for aggregating tens of billions of daily transactions
• Work on Big Data technologies such as Hadoop, MapReduce, Kafka, and/or Spark in columnar databases on AWS
• Contribute to the entire software lifecycle including hands-on development, code reviews, testing, deployment, and documentation for streaming & batch ETL and RESTful APIs
• Provide leadership, work collaboratively, and be a mentor in an awesome team

You should apply if you have most of this:

• Bachelors or Masters in Computer Engineering, Computer Science, Electrical Engineering or related field
• 5+ years of recent hands-on in an object-oriented language (Java, Scala, Python)
• 5+ years of experience designing and building data pipelines and data-intensive applications
• Experience using Big Data frameworks (e.g., Hadoop, Spark, MapReduce) and MPP databases (e.g., Redshift, Snowflake) for complex data assembly and transformation
• Strong knowledge of collections, multi-threading, JVM memory model, etc.
• In-depth understanding of algorithms, performance, scalability, and reliability in a Big Data setting
• Good knowledge of SQL
• Experience in full software development, Agile, and continuous integration/deployment
• Excellent interpersonal and communication skills

What puts you over the top:

• Experience building production level systems in a cloud environment (AWS, Azure, or GCP)
• Building event-driven microservices applications using spring boot or gRPC
• Orchestrating data pipelines using tools such as Airflow
• Familiarity with messaging frameworks like Kafka or RabbitMQ
• Experience with Spark streaming or Flink
• Solid understanding of OLTP and OLAP systems, database fundamentals

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As a Staff Big Data Engineer you will lead, design, implement and maintain big data pipelines responsible for aggregating tens of billions of daily transactions. You will lead the entire software development lifecycle including hands-on development, code reviews, testing, and deployment for streaming, batch ETL, and RESTful APIs. You will be using cutting-edge Big Data technologies on cloud platforms.  As a senior contributor, you will help guide, mentor, and provide technical leadership to junior team members.

What you’ll get to do:

• Planning delivery of data pipelines and API endpoints for the company product offerings
• Architect and build data pipelines and data stores specialized for data science needs
• Design architecture to streamline data science SDLC
• Design and implement systems for large-scale data analysis and machine learning
• Build tools and frameworks for use across the data science and data engineering teams
• Define and implement best practices and development processes
• Partner with engineering teams on deployments of data science-driven solutions
• Participate in training and mentoring of more junior data engineers
• The ideal candidate is naturally curious, dedicated, detail-oriented with a strong desire to work with awesome people in a highly collaborative environment.

You should apply if you have most of this experience:

• Bachelors or Masters in Computer Engineering, Computer Science, Electronics Engineering, or related fields
  • 10+ years of experience designing and building data-intensive applications
  • Hands-on coding experience in an object-oriented language, preferably Java/Scala/Python
  • In-depth understanding of algorithms, scalability, and various tradeoffs in a Big Data setting
  • Expertise in using Big Data frameworks (e.g., Hadoop, Spark) and MPP databases (e.g., Redshift, Snowflake) for complex data assembly and transformation
  • Experience building production level systems in a cloud environment (AWS, Azure, or GCP)
  • Orchestrating data pipelines using tools such as Airflow
  • Knowledge of database technology, SQL, schema design, and query optimization techniques
  • Understanding of full software development life cycle, agile development, and continuous integration
  • Excellent interpersonal and communication skills

  What puts you over the top:

  • Digital advertising or web technology experience
  • Experience with Spark streaming or Flink
  • Experience implementing machine learning algorithms
  • Experience with MLOps tools

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You will lead, mentor and develop a highly talented and growing team at Vertica.

You will design, implement and optimize innovative machine learning algorithms and features to help our customers uncover hidden patterns, correlations, and other valuable insights from massive amounts of data. To do this you’ll need to design and implement ML algorithms including but not limited to XGBoost, KNN and ARIMA in Vertica’s MPP architecture to crunch petabytes of data.

You’ll work on low-level systems code (C++) to make ML algorithms run orders of magnitude faster. And you’ll enhance the Vertica Software Development Kit (SDK) and core infrastructure to integrate Vertica with ML frameworks.

Required skills 

·       5+ years of combined experience in software development and management of the development team.

·       Customer focus with knowledge of major machine learning use cases in the industry.

·       C/C++ or Java

·       Essential algorithms and data structures.

·       Experience with large scale distributed systems.

·       Ability to work in a cross-functional team with PM, QA, Documentation, and others.

·       Willingness and ability to hire and mentor team members and interns.

·       Excellent communication and strong analytical thinking skills.

·       Experience with Machine Learning tools/libraries like Apache Spark, H20, TensorFlow, PyTorch, or others.

Desired/Preferred skills 

·       MS or PhD in Machine Learning or Computer Science.

·       Proficiency in Python and SQL.

·       Advanced knowledge of algorithms and data structures.

·       Knowledge/experience of putting machine learning models into production over distributed architecture with one or more of the following: classification, regression, recommendation systems, time-series, or ranking systems.

·       Experience in the development of enterprise-grade ML platforms.

·       Database fundamentals

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Position Summary:

The Cloud Services Engineer is responsible for innovative problem-solving associated with the implementation, management, and support of the Company’s cloud and hybrid infrastructure with an emphasis on performance, security, and automation.

What you will be doing:

• Provide system administration and operational support of cloud and hybrid workloads, including virtualization, networking, storage, automation, data protection, security, and routine maintenance

• Develop and build solutions architecture and evaluate architectural alternatives for private, public and hybrid cloud models, including IaaS, PaaS, SaaS, and other cloud services

• Ensure technology solutions are implemented for high availability and performance to meet service level agreements, functional requirements, and disaster recovery readiness for business continuity

• Contribute to the cloud architecture vision and technical roadmaps and promote cloud transformation and improvements

• Provide technical expertise and ownership in the diagnosis and resolution of an issue, including the determination and provisioning of workaround solutions or escalation to service owners

• Configure, implement and support an automated workflow for cloud and virtual environment provisioning

• Develop and maintain a library of detailed configuration and deployment documentation

The education and experience we’re looking for:

• Bachelor’s degree or equivalent combination of education, professional experience, and certifications

• Minimum of 5 years’ experience managing a Windows and VMware enterprise infrastructure, with responsibility in the areas of networking, storage, messaging, and database management

• Minimum of 1-year hands-on experience supporting Azure, with a strong understanding of core Azure services, Azure workloads, security, and governance

• Professional certifications such as Microsoft Certified Solutions Associate (MCSA), Microsoft Certified Systems Engineer (MCSE), Azure Fundamentals, Azure Administrator Associate are desirable

• Demonstrated experience using PowerShell, Azure Active Directory, Azure NSF, Azure Site Recovery, Azure Resource Manager templates, and deploying enterprise workloads to Azure

What skills you should have:

• Demonstrated knowledge of Windows Server operating systems from Windows Server 2012 to present

• In-depth technical knowledge of Active Directory Domain Services principles and best practices to complement expertise in Azure Active Directory

• Demonstrated knowledge of Azure hybrid cloud architecture and implementation features (OS, multi-tenancy, virtualization, orchestration, elastic scalability)

• Excellent written and verbal communication skills with an ability to clearly articulate technical information to non-technical audiences

• Customer-focused with a commitment to maintaining a high quality of work performed, and a drive for continuous learning

• Exceptional analytical and problem-solving skills, with an ability to comprehend simple and complex technical issues and translate into solutions that create value

• Outstanding collaboration and team-building skills

• This position may require participation in an on-call rotation for after-hours support

• This position may require overnight travel within the United States, up to 25%

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What You’ll Do
We are currently building a centralized Data & Analytics Organization that will leverage a cloud-based data warehouse and state of the art analytics environment to solve various business problems ranging from sales, marketing and pricing modeling to supply chain optimization and Industry 4.0.  As a Lead Data Scientist Returner you will be part of our team working remotely responsible for collecting data and developing insights related to innovative new business initiatives focused on the digital enablement of work sites and the Internet of Things.  Specifically, you will:

• Leverage big data and data science to discover patterns and solve strategic & tactical business problems using massive structured and unstructured data sets across multiple environments
• Develop analytic capabilities (e.g. models and processes) that drive better outcomes for both customers and the company
• Contribute to the collection, cleansing, processing and analysis of new and existing data sources.
• Build, test, and deploy predictive models and/or machine learning algorithms on large static and/or streaming data sets
• Report findings by creating useful and appropriate data outputs and visualizations tailored for the intended audiences
• Generate innovative ideas, establish new research directions, contribute to the execution of the information strategy in support of technical projects and new product developments
• Work with and support other team members, management, and partners

Who You Are
You’re naturally curious with a strong passion for empirical research; you possess a problem-solving mindset.  You bring experience in relevant field(s) for data science, including Statistical Analysis & Modeling; Machine Learning Algorithms & Techniques; Deep Learning / Neural Networks.  You are technically fluent and can articulate passionately and clearly across all communications platforms.  You are at ease interfacing with professionals at all levels and across a variety of functions within an organization. You’re eager to leverage your previous experiences and learn new things. You also have:

• Technical bachelor’s degree and 5 years of experience or an advanced degree (MS and/or PhD) in a relevant technical field (e.g., Computer Science, Mathematics, Applied Mathematics, Statistics, Operations Research, Industrial Engineering, Econometrics) with 3+ years of experience in related data science, analytics, and model building roles
• Experience manipulating data in Python. Bonus points for experience working with particularly large complex data sets, real time/near real time analytics, and distributed big data platforms (Hadoop & MapReduce and/or Cassandra/Spark)
• Practical knowledge of analytical techniques and methodologies such as machine learning (supervised and unsupervised), NLP, mix and time series modeling, response modeling, lift modeling, experimental design, neural networks, and data mining 
• Background in applying statistical machine learning techniques to predictive modeling and experience with Machine Learning libraries (sklearn, PyTorch, TensorFlow, H2O, Hugging Face, spaCy etc.)
• Interest in learning cutting edge NLP techniques based on concepts such as transfer learning and transformer-based architectures

How You’ll Feel
We want our company to be a place you’ll want to be – and stay. Being part of our team means you’ll get to:
Grow: Be part of our global company with 20+ brands to grow and develop your skills along multiple career paths.
Learn: Have access to a wealth of learning resources, including our Lean Academy, Coursera® and online university.
Belong: Experience an awesome place to work, where we have mutual respect and a great appreciation for diversity, equity and inclusion.
Give Back: Help us continue to make positive changes locally and globally through volunteerism, giving back and sustainable business practices.

What’s more, you’ll get that pride that comes from empowering makers, doers, protectors and everyday heroes all over the world. We’re more than the #1 tools and storage company and #2 security solutions provider, with a leading presence in engineered fastening. We’re visionaries. Industry 4.0 innovators. As successful as we’ve been in the past, we have so much further to go. That’s where you come in. Join us!