platform, Marketing, CRM, campaign management and other back-office
applications

* Responsible for multi projects at once, being the main source of technical knowledge

and experience, facilitating, building (hands-on) and mentoring RnD teams

* Responsible for cloud infrastructure, architecture, micro-services, CICD, production

environments and for new innovative and complex developments.

* Responsible for research, analysis and performing proof of concepts for new

technologies, tools and design concepts

* Design and development core modules in our big data platform infrastructures

(hosting in Google Cloud, services and Kubernetes, based on: Spark
Core/Streaming

Structure/SQL, Scala, Python, AngularJS, Node.js, Kafka, BigQuery, Redis,

Elasticsearch, Google Cloud Machine Learning Engine and TensorFlow)

* The platform handles huge amounts of data, through complex processing in batch

and real time modes, complex data manipulation, using services, UI frameworks
and

interactive notebooks.

Qualifications

* 8+ years of practical experience with Scala/Python programming languages,

excellent programming skills – functional programming, design patterns, data

structures and TDD approach – must

* 6+ years hands-on experience building large-scale (petabytes), low-latency

distributed systems using modern cloud computing technologies (GCP – preferred
,

AWS) – must.

* 5+ years experience working in microservices environments, building state-of-the-

art data-driven solutions – must

* 5+ years experience in efficient data modeling using SQL/NoSQL solutions (BQ,

ES, MySQL etc) – must

* Expert SQL queries knowledge – you know how to write efficient, low-latency

queries vs modern data-warehouse solutions (BQ – preferred, Redshift, Athana
etc)

– must

* Experience building large-scale (petabytes) of Streaming/Batch ETL using modern

processing engines (Spark – preferred, Beam, Flask etc).

* Experience working with data streams systems (Kafka – preferred , Pub-Sub or

Kinesis) – must

* Experience working Data Science/ML (production grade) infrastructure – big

advantage

* Experience working with notebooks solutions (Zeppelin, Jupyter) – big advantage
* Experience working storage solutions (hdfs, S3, GCS – preferred) – big advantage
* Experience working with CI&CD tools and devops solutions – big advantage
* Experience working with dockerize and kubernetes solutions – big advantage
* Team-Player, excellent communication skills vs software engineers, product and

external clients – fluent English – must

* BSc Computer Science/Data Management or equivalent practical experience – must

The post Big Data Architect appeared first on TechMonster.

Check Point’s Cloudguard Intelligence is looking for a Sr. Data Scientist to
join its staff.

The group consists of highly talented teams and individuals developers,
Security Research, Advanced Development and Architecture across all the cloud
organization products and services.

This is a unique opportunity for you to establish and lead the area, work in
the #1 worldwide Cyber Security Company, gain expertise and experience
harnessing the amazing available data collection available for Cyber Security
Products.

Major Responsibilities

* As a Sr. Data-Scientist you’ll:
* Design develop and lead a novel data-driven solutions that have the potential to deliver game changing results involving advanced AI and Algorithms.
* Push the solutions all the way to a large scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.
* Enjoy the work and knowledge of Cyber Researchers, Analysts, Fellow programmers and Data-Scientist to deliver machine learning and analytics solutions.
* You’ll enjoy:
* A fun environment where work-life balance is valued.
* Exploring THE BEST Cyber Security Data source to be found.
* Working in a start-up environment within a corporate’s stability.
* Sharing your day with fun, passionate, brilliant people.

Desired Background

* 5+ years of experience as a Data-Scientist or Engineering Architect working on machine-learning-related projects.
* Python/C#/TypeScript/Scala development experience who worked on several production systems.
* Bachelor’s degree in computer science or related field (Preferably Master/Ph.D. degree).
* Experienced with Databases, Data processing architectures, Spark, Cloud, Docker/k8s.
* Experienced with Cyber Security – Big Advantage.
* A pragmatic approach, an open-minded, good communicator who can simplify complex ideas and designs
* Positive, fun to talk and work with, who sees himself as part of a community.
* “Go-to” person, master in his domain, the one who finds opportunities where others see problems.

The post Sr. Data Scientist appeared first on TechMonster.

We’re looking for an experienced Data Scientist to join our DS and ML team and
play a major role in solving challenging intelligence problems. The ideal
candidate is a true data science passionate, with a strong background and
excellent capabilities in the full machine learning spectrum: business
understanding, research, data discovery and exploration, feature engineering,
modeling, testing, deployment, and monitoring and maintenance. This person
will have access to enormous amounts of classified data and will be
responsible for researching and developing the next generation technologies.
This person will try to solve some of the most challenging problems for the
intelligence community, and if succeeded – will make an unforgettable impact.

Requirements:

* 3+ years experience working as a Data Scientist
* BSc in Statistics, Computer Science, Mathematics, or equivalent quantitative field
* Hands-on experience in model development, production-grade implementation, and performance monitoring.
* Data analysis background
* Excellent Python and SQL skills
* The ability to understand, utilize and innovate on state-of-the-art machine learning algorithms and statistical modeling
* Experienced with evaluating, testing, and implementing internal and external data sources
* Engineering background and ability to deploy ML solutions in production
* Advantage- MSc/PhD in Statistics, Computer Science, Mathematics, or equivalent quantitative field
* Advantage- Strong ML/DL knowledge + experience in solving classification tasks using these methods
* Advantage- Tier 2 security clearance

The post Data Sicentist Engineer appeared first on TechMonster.

Our team is growing and we're looking for a brilliant Data Architect.

You will work in a dynamic environment, on various products and technologies
and deal with complex data challenges. We are looking for someone who adheres
self-learning and seeks new solutions.

Are you passionate about adopting new technologies and solving complex
problems?

If so, continue reading

Responsibilities:

* Lead the architectural vision and design of our platform, assure that the architecture scales to support the fast growing business and traffic
* Research new Data tools, technologies and frameworks
* Be involved and support projects that require data science and machine learning computation
* Be a technical authority – promote guidelines and enforce best practices.

Stack: AWS, Kafka, ElasticSearch, MongoDB, Snowflake, BigQuery

Requirements :

* Proven work experience as a Data Engineer/Data Architect/Tech Lead, working with developers, data engineers, and analysts
* Experience in designing high performance, highly available and scalable microservice architecture with CDC/DDD design patterns
* Experience in working with cloud providers (e.g., AWS, GCP)
* A team player with excellent communication and presentation skills
* BSc. in Computer Sciences or equivalent

The post Data Architect appeared first on TechMonster.

Our team blends deep Cyber Security expertise, product, and performance
marketing to bring cyber protection to as many individuals and organizations
as possible, all while providing a private and friendly user experience.

We are seeking a Security Data Analyst to join Guardio's core security squad,
working closely with R&D, Support, and Product groups.

You will:

* Utilize cutting edge, big data technologies to analyze and block malicious actors operating on the web.
* Maintain, monitor, and tweak detection heuristics on a daily basis across multiple disciplines (malicious extensions, websites, etc.).
* Research and improve novel methods of detection and prevention of modern browser-based threats, expanding on capabilities provided by browsers and browser extensions.
* Report to and engage directly with Guardio's R&D team.

Who we are looking for:

* 2+ years of work experience in complex analysis using SQL.
* Good grasp of networking, internet, and how modern web browsers function (HTTP, DNS, HTML, etc.).
* Basic programming knowledge in client-side Javascript.
* Great English communication skills (writing + verbal).
* Understanding of the web cyber-security landscape, vulnerabilities, and attack surfaces – BONUS
* Experience using Python – BONUS

The post Security Data Analyst appeared first on TechMonster.

Primary Roles and Responsibilities:

* Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed.
* Create data pipelines for batch, micro-batch, and real-time data streams.
* Assemble large, complex data sets that meet functional / non-functional business requirements.
* Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
* Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
* Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
* Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
* Create, schedule, maintain, and debug ETL and ELT processes

Must-have experience/criteria for role:

* Experience with a variety of programming languages such as: Python, Java, Golang etc
* Experience with relational SQL and NoSQL databases (ideally Postgres and Cassandra)
* Experience with big data tools: Hadoop, Spark, Kafka, etc.
* Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
* Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
* Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
* Strong analytic skills related to working with unstructured datasets.
* A successful history of manipulating, processing and extracting value from large disconnected datasets.
* Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

Nice to have’s:

* Experience with stream-processing systems: Storm, Spark-Streaming, etc.
* Experience working in a multinational corporation and proven success at leveraging a variety of resource groups on behalf of the business.
* Experience with one of the large cloud providers (AWS / Google Cloud / Azure)
* Extensive understanding of the ITSM/ITOM market
* Any experience with BMC products (especially related to Control-M)
* Technical experience in developing and releasing enterprise solutions to market

The post Senior Data Engineer – Innovation Labs appeared first on TechMonster.

We are looking for a team lead in our department, to join our super talented
and growing team of team leads and analysts. Our ideal candidate has a keen
analytical mindset, together with impacting the business decisions of the
company, has an ability to motivate people and loves playing games.

The scope of responsibility for our teams includes analyzing large and complex
data sets in order to provide actionable recommendations and conclusions,
conducting deep analysis, KPI monitoring, strongly collaborate with relevant
stakeholders and departments (game studios, management, marketing, research),
gain absolute knowledge of the product, be an analytical focal point, and many
more. Our goal is to improve the business and the game, making sure every
business decision is backed up with data.

Responsibilities:

● Manage a team or teams of 3-4 experienced data analysts, control &
prioritize the pipeline of tasks relevant for the team according to the
business needs

● Develop a strong and effective working relationship with the multiple
customers in the company, taking an active part in the strategic planning of
the product pipeline

● Assure team outcomes meet the needed high standard – analytical, reliability
and business wise

● Provide team leadership and coaching

● Proactive monitoring and flagging of ongoing issues, follow up on product
updates and changes that might affect performance

● Be aware of company level strategies and decisions, proactively adjust
teams’ direction and tasks according to it and make sure the team is aware of
department/company high level activity

● Make sure there is an effective process of communication of priorities and
requirements to data team for implementation

Requirements:

● At least 2 year of management experience in the analytics field

● At least 2 years of previous experience as a data analyst ; product
analytics – a plus

● Able to easily extract key takeaways from data

● Proactive attitude, entrepreneurial mindset, with a strong work ethic

● Excellent knowledge of SQL & Excel (Python- an advantage)

● Excellent understanding of online metrics (Retention, Churn, APPU etc.)

● Excellent knowledge of statistics and testing methodologies

● A passion for problem-solving and efficiency

● Ability to work in a team, share information and give professional guidance

● Experience working with visualization tools (such as QlikSense, Tableau)

● High Presentation, communication and project management Skills

● Excellent English skills

● An academic degree in an analytical field such as Mathematics, Statistics,
Economics, Engineering or similar – an advantage

The post Data Analytics Team Lead appeared first on TechMonster.

Imagene provides a disruptive AI-based genomic testing solution to assist
cancer patients in receiving the optimal treatment that medicine can offer by
making genomic testing accessible and leverage their biopsy images for
personalized therapeutic strategies.

About the position

Imagene is hiring an experienced data scientist researcher. As part of the
initial data science team recruitments, he/she will have the opportunity to
influence the research vision, goals, and culture significantly. Imagene is
working with some of the largest players in the health space, so he would have
the opportunity to impact many people's lives.

The job requires an established track record of successfully solving complex
problems in the computer vision field and a strong passion for Imagene’s
mission.

Responsibilities

* Engage and implement cutting-edge AI technology in the field of unsupervised and semi-supervised learning.
* Apply reinforcement learning for architecture and hyper-parameters search.
* Develop robust Generative Adversarial Networks.
* Keep track and implement the latest state-of-the-art deep learning research.

Qualifications

* 4+ Years of experience programming experience in Python.
* 4+ Years of experience in machine learning algorithms.
* 4+ Years of experience in computer vision algorithm development.
* 4+ Years of experience with the following frameworks: PyTorch, TensorFlow.
* 2+ Years of experience with unsupervised and semi-supervised deep learning models.
* Proficient in detection, segmentation, and classification algorithms.

Seniority Level

Mid-Senior level

Industry

Health Tech, Computer Software

Employment Type

Full-time

Job Functions

Engineering, Research

The post Senior Data Scientist appeared first on TechMonster.

Your duties and responsibilities include:

·Designing and developing large-scale data centric solutions.

·Advice architects and development teams on database architecture.

·Work closely with Implementation and Operation teams to define best practises
for high availability, disaster recovery, performance monitoring and
optimizations.

·Provide guidelines and support for production incidents, working closely with
our Operation team.

Must-have Qualifications:

* 5+ years of experience leading, designing, and implementing data architecture at an enterprise level.

· 5+ years of experience working with relational databases (for example,
PostgreSQL, MSSQL or MySQL).

· 2+ years of experience working with Elasticsearch.

· 2+ years of experience working with none-relational databases (for example,
MongoDB or Cassandra).

·Be exceptionally strong in the SQL development – complex queries and
performance tuning.

·Experience with Scrum and Agile methodology.

·Fluent in spoken and written English.

Advantages:

·Experience with AWS or Azure cloud platforms.

Experience in Software Development.

· University or college degree in Computer Science or a related discipline.

Who we are

With a startup spirit and 80,000+ curious and courageous minds, we have the
expertise to go deep with the world’s biggest brands—and we have fun doing it.

We create products and platforms that demonstrate outstanding design for our
clients and their customers. And this is your opportunity to be part of a team
that is creating positive impact on the world by developing products that
people love and making a difference in people’s lives.

It is a unique opportunity to be part of the team that is working with
cutting-edge technologies to create a new SaaS orchestration platform. This
platform will be used by global Fortune 500 companies. We need someone who can
think really big.

Now, we’re calling all you rule-breakers and risk-takers who see the world
differently and are bold enough to reinvent it. Come, transform with us.

The post Senior Data Engineer appeared first on TechMonster.

at Cybereason (View all jobs)

Tel Aviv

Cybereason is looking for expert Software Engineers to join our data-platform
team.

The data-platform team is responsible for building the next generation of our
big-data solutions: ingesting high-volume streams of data from multiple
systems, enriching that data, processing it, and providing real-time queries,
visualizations, insights, alerts, and other features from it.

Our Data Engineers build the data pipelines and analytics solutions on
multiple cloud providers for our internal and external customers to answer
questions with data and drive critical improvements for the business. We are
looking for a talented Data Engineer who is passionate about using data to
drive crucial business and security decisions regarding our security
framework. This role will focus on managing and implementing world-class
processes around designing, collecting, organizing, and presenting data to
analyze traffic, understand customer behavior, feature performance, and
marketing efforts from business partnerships.

We are looking for a Data Engineering Team Lead to join us! As part of our
great Team you will:

* Lead a team of data engineers, BI, and FE developers.
* Design and implement data pipelines for multiple data sources
* Monitor & Maintain production streaming and batch applications
* Promote best practices coding, code complete standards, OO programming & design patterns
* Collaborating with our architects, product owners, and data scientists to capture, format, and prepare data for machine learning

Requirements:

* At least two years of experience as a Java team leader (3-7 people) – must.
* Experience managing big data teams in large environments.
* Leadership capabilities – can lead development activities, team player, motivate and mentor team members.
* BSc. in computer science/software engineering.
* Extensive Java knowledge (Java Core, multithreading, Spring, Java EE).
* Proficiency in Object-Oriented Programming, design patterns, and micro-services architecture.
* Experienced with current SW development practices (SCRUM, Unit tests, source control, TDD, CI, CD, deployment automation).
* Experience in Elasticsearch, Spark, Hadoop, Vertica, HBase, Angular, React, Docker, Kubernetes – big advantage!
* Experience in cloud environments (AWS/GCP/OCI).
* Resourceful, innovative, and promoting new technologies.

The post Data Team Lead appeared first on TechMonster.