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big Data, big insights, big Results

 

“Those who can imagine anything, can create the impossible” -Alan Turing

Real-time predictive engine supporting long-range planning. Based on external data, captured, processed, and delivered by us. Your data not required.

Corporate planning challenges

The farther backward you can look, the farther forward you can see." Winston Churchill

The farther backward you can look, the farther forward you can see." Winston Churchill

Businesses are intertwined with multi-dimensional industry and macroeconomic drivers. As such, decision makers across every sector are faced with the challenge of how to disentangle and extract time-sensitive intelligence from many different sources, and understand how it can inform long-range planning.

This is not trivial. Finance departments need accurate insights into short- and long-term demand to make effective capital investment decisions. Sales and marketing teams need to foresee the next inflections to focus sales and marketing efforts and so ensure increased growth.

Whilst companies are gaining ground with tools enabling better analysis of internal data, they continue to hit a wall in making sense of external data. Most organizations are not able to capture and process exogenous data sources at scale, yet alone make sense of complex intelligence to inform decision making.

Financial and strategic planners rely primarily on in-house market research teams and third-party competitive intelligence suppliers to gain an understanding of technology, industry, and economic trends. However, the ability of these data providers to harness and make sense of complex external data remains largely out of reach. Consequently, information and findings generated often represent an incomplete picture of market growth and drivers. This can, and often does, lead to costly inaccurate decisions by executives

Big Data Federation’s mission is to enable an ecosystem approach to corporate financial and strategic planning using our long-range prediction engine.

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“The world is one big data problem.” Andrew McAfee

“The world is one big data problem.” Andrew McAfee

Harnessing big data

A vast amount of data originating from a large number of diverse sources is generated continuously across the globe. So-called “big data” are characterized by a massive sample size and high dimensionality (i.e. a large number of features).

In the case of a company’s ecosystem, demand prediction is a function of company, industry, and macroeconomic features, all of which vary over time. Each company each quarter faces multiple company level factors, macroeconomic conditions, and industry characteristics. Further, demand is constantly interacting with supply, which has its own high dimensionality.

Such large, high-dimensional data sets require advanced statistical methodologies.

"Information is the oil of the 21st century, and analytics is the combustion engine.” Peter Sondergaard

"Information is the oil of the 21st century, and analytics is the combustion engine.” Peter Sondergaard

Ecosystem approach to powering long-range predictions

Big Data Federation applies customised machine-learning algorithms to real-time mass-scale data in order to generate fundamentals predictions related to a company, its customers, end markets, suppliers, key drivers, and macroeconomy.

These highly accurate predictions support decision makers in demand prediction, financial planning, identifying latent macroeconomic risks, discovering industry inflections, and setting guidance.

Processing millions of targeted data records 24/7 from a diverse and growing number of data sources, our algorithms are continually updating and improving their prediction accuracy.

Real-Time Prediction Engine

Our AI platform has an intuitive and customizable user interface. It does not require client data integration hence can be rapidly deployed, eliminating data governance concerns and technical challenges of data integration.

Our products have been deployed by top global financial institutions and Fortune 100 companies to enhance planning and investing activities.

"You may delay, but time will not." Benjamin Franklin

"You may delay, but time will not." Benjamin Franklin

About

Big Data Federation, Inc. develops and applies innovative machine-learning technologies to big data to predict financial, economic, and world events. 

We are a group of passionate technologists, mathematicians, data scientists and programmers in Silicon Valley with over 100 patents to our names. 

Big Data Federation was incorporated in 2015 and is based in Silicon Valley, California.

JOBS       

Software Architect

Location: Santa Clara, CA     

Employment Type: Regular full time    

Company: Big Data Federation predicts financial and economic performance by using machine-learning algorithms and big data. Our AI-based Enterprise SaaS solution solves the key challenge facing companies of how to correctly predict market demand and sales.  We are unique in that we fuel our predictions with massive amounts of interconnected data, from the company to the macroeconomy level. Our solutions are already deployed by Fortune 100 companies. We are a venture-backed team of technologists, mathematicians, data scientists, and programmers. 

Job Profile

  • You'll design and help with the implementation of our Data Platform and a suite of user-facing web-based products. 

Qualifications  

  • 5-10 years of experience in software engineering and/or architecture 

  • Proven ability to design and implement scalable and secure services (especially backend, frontend is useful). Must be hands on

  • Experience with either Java, Python, Ruby, PHP, Node.js or Scala

  • Knowledge of with SQL and NoSQL databases

  • Experience with micro-services and APIs

  • Familiar with cloud services such as AWS, Azure, GCP

  • Experience with the Big Data platform (e.g. Hadoop, Spark, Kafka)

  • Familiar with Agile/Scrum processes Self motivated and able to recognize long term needs and proactively address them

  • Able to mentor junior engineers through code reviews and best practices

  • Experience in engineering management is a plus

  • Computer Science degree or a related technical background

Compensation

  • Competitive salary and commission

  • Generous stock options

  • Full health benefits: medical, vision and dental

  • 401(k)

  • Paid time off

Big Data Federation, Inc  does not sponsor applicants for work visas.

Please send cover letter and resume to jobs@bigdatafed.com      

Director of Sales & Marketing, Enterprise (Silicon Valley)

Location: Santa Clara, CA     

Employment Type: Regular full time    

Company:  Big Data Federation predicts financial and economic performance by using machine-learning algorithms and big data. Our AI Enterprise  SaaS solution solves the key challenge facing companies of how to correctly predict market demand and sales.  We are a venture-backed team of technologists, mathematicians, data scientists, and programmers.

Job Profile

You will lead and champion sales of our new AI Enterprise SaaS solution and leverage your strong relationships with industry, including C-level (especially CFO/CEO) connections in technology companies. You’ll conceive, build, and execute B2B Go-To-Market (GTM) strategy including identifying potential partnerships to scale.  This is a highly-visible hands on role which reports directly to the CEO.

Specific duties include:

  • Contribute to the business plan for the Enterprise SaaS Solution

  • Expand the customer base for the Enterprise platform, focusing initially on technology companies' finance departments

  • Build out the positioning/messaging/value-proposition

  • Devise pricing models, GTM strategy

  • Identify and develop partnership strategies

  • Produce appropriate marketing materials

  • Maintain regular contact with industry participants, clients, etc.

Experience

  • Background in enterprise SaaS sales and marketing

  • Experience identifying new/existing customer/business requirements/use cases

  • Experience selling to large cap companies

  • 10+ years of experience in sales

  • Startup background

  • Investment banking experience preferred

Compensation

  • Competitive salary and commission

  • Stock options

  • Full health benefits: medical, vision and dental

  • 401(k)

  • Paid time off

Big Data Federation, Inc  does not sponsor applicants for work visas.

Please send cover letter and resume to jobs@bigdatafed.com            

Data Scientist (Silicon Valley)

Location: Santa Clara, CA    

Employment type: Regular full time    

Company Big Data Federation, Inc. uses machine-learning algorithms and exogenous big data to uncover patterns and precise drivers of companies' financials and macroeconomic indicators. Our AI SaaS Enterprise solution is a comprehensive prediction tool designed to help companies in demand prediction, financial planning, identifying latent macroeconomic risks, and discovering industry inflections. BigDataFed is venture-backed startup with high-profile investors and high profile advisors.  

Job Profile: We are seeking an enthusiastic Senior Data Scientist to be a contributor to our predictive analytics platform. You will create application pipelines which pull data from a universe of ingested data-sets and refine them to extract information for use in our predictions. You will help design and implement machine-learning algorithms and micro-services. In many cases the data sizes will necessitate implementation on distributed computing platforms.

We seek mathematically-inclined software engineers, and scientists/mathematicians with an aptitude for computer science. We particularly welcome passionate, data-oriented candidates eager to learn new skills, and mentor their colleagues in areas where they themselves excel. 

Experience

  • Strong background in classical machine learning and deep knowledge in a variety of techniques in feature selection, regression, classification, and clustering, and their real-world advantages and drawbacks

  • Hands-on experience with applied mathematics, e.g., linear algebra, probability, and statistics

  • Proficient with R (preferred), or Python, and their respective library ecosystems

  • Ability to multitask with attention to details

  • Familiarity with financial analytics and time series econometrics is a plus

  • Practical experience with semantic text analysis and deep learning is a plus

Education

  • Master's degree in computer science or an engineering/math/statistics/science discipline with a strong computer science component

Compensation

Competitive salary; Stock options; Health benefits: medical, vision, and dental; Paid time off.

Big Data Federation, Inc, will not sponsor applicants for work visas.

Please send cover letter and resume to jobs@bigdatafed.com            

Senior Back-End Engineer (Silicon Valley)

Location: Santa Clara, CA  

Employment type: Regular full-time position

Company Big Data Federation, Inc. uses machine-learning algorithms and exogenous big data to uncover patterns and precise drivers of companies' financials and macroeconomic indicators. Our AI SaaS Enterprise solution is a comprehensive prediction tool designed to help companies in demand prediction, financial planning, identifying latent macroeconomic risks, and discovering industry inflections. BigDataFed is venture-backed startup with high-profile investors and high profile advisors.  

Job Profile: As a senior software engineer you will be involved with automating the ingestion of large amounts of data into the data platform, architecting the data platform, and writing APIs for accessing the data and tests to ensure the accuracy and reliability of the data.  You will help promote best practices and review the engineering team’s code.  You will also help manage day-to-day administrative tasks and engineering processes, such as scrum meetings.

Responsibilities include:

  • Develop/maintain data platform to ingest data and validate/store it in our cloud, and serve it up to applications through internal APIs

  • Create and maintain docker-based microservices API

  • Write data ingestion modules from external sources (Python)

Qualifications

  • Experience with Python

  • Experience with databases (mysql)

  • Experience using Docker is an important advantage

  • Experience with AWS/ECS services is a plus

  • Agile development, continuous integration and test-driven design a plus

  • Experience creating RESTful APIs is a plus

  • Knowledge of English spoken and written at medium level is required

Compensation

Competitive salary; Stock options; Health benefits: medical, vision, and dental; Paid time off.

Big Data Federation, Inc, will not sponsor applicants for work visas.

Please send cover letter and resume to jobs@bigdatafed.com  

Devops Engineer (Silicon Valley)

Location: Santa Clara, CA

Employment type: Regular full time    

Company Big Data Federation, Inc. uses machine-learning algorithms and exogenous big data to uncover patterns and precise drivers of companies' financials and macroeconomic indicators. Our AI SaaS Enterprise solution is a comprehensive prediction tool designed to help companies in demand prediction, financial planning, identifying latent macroeconomic risks, and discovering industry inflections. BigDataFed is venture-backed startup with high-profile investors and high profile advisors.  

Job Profile: We are seeking a DevOps Engineer to play a key role in operating our cloud infrastructure and applications. The ideal candidate should have both development and operational experience, and be passionate about automating operational processes and managing critical systems with zero downtime. You will maintain the existing infrastructure and add new functions. You’ will work across multiple teams from application engineers to platform engineers and data scientists to automate the deployment, configuration and management of cloud infrastructure in AWS. 

Specific Responsibilities to Include:

  • Plan and deploy high availability solutions for DevOps services

  • Install, configure manage and extend a variety of software systems including software for version control, continuous integration, continuous deployment, performance data collection and analysis, systems monitoring and more

  • Automate the compilation, continuous integration, testing, packaging, and distribution of multiple software components

  • Monitor and improve operations performance and stability

  • Investigate failures, fix them and execute root-cause analysis

  • Engineer systems and tools to support the build, integration and verification of complex software systems

  • Work closely with developers to tailor tools and solutions for rapidly evolving needs

  • Continuously discover, evaluate and implement new technologies or services to maximize operations efficiency and reliability

Experience

  • Demonstrated success deploying and scaling high traffic services in AWS (AMI’s, EC2, S3, CloudWatch, ECS, VPC, RedShift, Network Routing/ACL’s, ELB)

  • Expert networking knowledge and ability to mainain various server web server software (NGINX, OpenResty, Apache etc.)

  • Experience implementing and managing CI/CD with Jenkins, Docker and AWS ECS clusters

  • Experience with writing Jenkins Pipelines

  • Experience with cloud monitoring technologies including AWS CloudWatch, Grafana or Nagios

  • Extremely comfortable with Linux, shell-scripting, and git

  • Extremely comfortable with Python as a crucial tool for automation

  • Experience with Kubernetes and Google Cloud would be a plus

  • Experiences with Mesosphere DC/OS would be a plus

  • Experience with other languages: JS, Go, Lua, Ruby would be a plus

  • Thrive in a startup/fast-paced environment

  • Excellent oral and written communication skills ·

Qualifications

  • Bachelor’s degree in computer science or related field

  • 2+ years of experience

Compensation

Competitive salary; stock options; health benefits: medical, vision, and dental; Paid time off.

Big Data Federation, Inc, will not sponsor applicants for work visas.

Please send cover letter and resume to jobs@bigdatafed.com                  

Software Engineer (Silicon Valley)

Location: Santa Clara, CA    

Employment type: Regular full time    

Company Big Data Federation, Inc. uses machine-learning algorithms and exogenous big data to uncover patterns and precise drivers of companies' financials and macroeconomic indicators. Our AI SaaS Enterprise solution is a comprehensive prediction tool designed to help companies in demand prediction, financial planning, identifying latent macroeconomic risks, and discovering industry inflections. BigDataFed is venture-backed startup with high-profile investors and high profile advisors.  

Job Profile: You will join an experienced and diverse team of software engineers and data scientists as a key contributor to our predictive analytics platform, where you will be responsible for ingesting new data sources into our data platform: this entails creating docker containers which customize the retrieval, post-processing/validation and storage of each data source into our private cloud.  You will work with data vendors and our own data scientists to optimize the ingestion process for each source: from prototype through deployment as a micro-service to our data platform.  You are encouraged to develop your full-stack engineering skills so you can help develop/maintain the data platform itself.

We particularly seek passionate, data-oriented candidates who are eager to learn new skills, and to mentor their colleagues in areas where they themselves excel.

Responsibilities include:

  • Develop/maintain data platform to ingest data and validate/store it in our cloud, and serve it up to applications through internal APIs

  • Create and maintain docker-based microservices API

  • Write data ingestion modules from external sources (Python)

Qualifications

  • Experience with Python

  • Experience with databases (mysql)

  • Experience using Docker is an important advantage

  • Experience with AWS/ECS services is a plus

  • Agile development, continuous integration and test-driven design a plus

  • Experience creating RESTful APIs is a plus

  • Knowledge of English spoken and written at medium level is required

Compensation

  • Competitive salary; stock options; health benefits: medical, vision, and dental; Paid time off.

Big Data Federation, Inc, will not sponsor applicants for work visas.

Please send cover letter and resume to jobs@bigdatafed.com

UI/UX Designer (Remote)

Location: Remote

Employment type: Contract 

Job Description:  We have created a highly interactive real-time HTML5 dashboard. We are looking for a UI designer to further develop the product.  The designer will work closely with the front-end engineers and rest of the team.  He/she should be able to build upon a highly visually appealing web portal with manoeuvrable elements and a customizable dashboard.

CSS and HTML5, java, D3 experience a plus.

Designers should be based in the SF Bay area in order to be able to work with the rest of the team at the office when needed.

Compensation

  • Competitive remuneration

Please send cover letter and examples of work to jobs@bigdatafed.com

Senior Back-End Engineer (Moldova)

Location: Chisinau, Moldova

Employment type: Regular full-time position

Company Big Data Federation, Inc. uses machine-learning algorithms and exogenous big data to uncover patterns and precise drivers of companies' financials and macroeconomic indicators. Our AI SaaS Enterprise solution is a comprehensive prediction tool designed to help companies in demand prediction, financial planning, identifying latent macroeconomic risks, and discovering industry inflections. BigDataFed is venture-backed startup with high-profile investors and high profile advisors.  

Job Profile: As a senior software engineer you will be involved with automating the ingestion of large amounts of data into the data platform, architecting the data platform, and writing APIs for accessing the data and tests to ensure the accuracy and reliability of the data.  You will help promote best practices and review the engineering team’s code.  You will also help manage day-to-day administrative tasks and engineering processes, such as scrum meetings.

Responsibilities include:

  • Develop/maintain data platform to ingest data and validate/store it in our cloud, and serve it up to applications through internal APIs

  • Create and maintain docker-based microservices API

  • Write data ingestion modules from external sources (Python)

Qualifications

  • Experience with Python

  • Experience with databases (mysql)

  • Experience using Docker is an important advantage

  • Experience with AWS/ECS services is a plus

  • Agile development, continuous integration and test-driven design a plus

  • Experience creating RESTful APIs is a plus

  • Knowledge of English spoken and written at medium level is required

Compensation 

We offer attractive industry-level salaries, based on performance/experience, level and skills, as well as paid time off. 

Please send a cover letter and your CV to ee-jobs@bigdatafed.com

Front-end Engineer (Moldova)

Location: Chisinau, Moldova

Employment type: Regular full-time position

Company Big Data Federation, Inc. uses machine-learning algorithms and exogenous big data to uncover patterns and precise drivers of companies' financials and macroeconomic indicators. Our AI SaaS Enterprise solution is a comprehensive prediction tool designed to help companies in demand prediction, financial planning, identifying latent macroeconomic risks, and discovering industry inflections. BigDataFed is venture-backed startup with high-profile investors and high profile advisors.  

Job Profile: We're looking for an experienced front-end engineer to help build a responsive website for displaying insights.  You'll help design the front-end architecture and data models. 

Qualifications

  • Strong understanding of HTML, CSS, and Javascript

  • Experience with a Javascript framework such as React, Angular, or Ember

  • Experience with a unit testing framework such as Jasmine, Mocha

  • Experience with a CSS preprocessor such as Sass or Less

  • Able to build responsive websites

  • Experience with D3.js

  • Experience with design and UX is a plus

  • Experience with a backend language (Java, C++, Ruby, Python) is a plus

Compensation 

We offer attractive industry-level salaries, based on performance/experience, level and skills, as well as paid time off. 

Please send a cover letter and your CV to ee-jobs@bigdatafed.com

Quality Assurance (QA) Engineer (Moldova)

Location: Chisinau, Moldova

Employment type: Regular full time    

Company Big Data Federation, Inc. uses machine-learning algorithms and exogenous big data to uncover patterns and precise drivers of companies' financials and macroeconomic indicators. Our AI SaaS Enterprise solution is a comprehensive prediction tool designed to help companies in demand prediction, financial planning, identifying latent macroeconomic risks, and discovering industry inflections. BigDataFed is venture-backed startup with high-profile investors and high profile advisors.  

Job Profile: We're looking for a Quality Assurance engineer to help test our enterprise website and data platform.  You’ll write code to ensure the website is high quality and user friendly.  In addition, you’ll ensure the integrity our large data sets, which power the website. You’ll be able to set the foundation for QA processes and tools going forward.

Qualifications

  • Strong background in software testing and best practices

  • Experience testing websites, both web and mobile

  • Able to automate tests and test reports

  • Experience with Python, Ruby, or a similar scripting language

  • Knowledge of HTML, Javascript

  • Knowledgeable of common web security issues

  • Detail oriented and not afraid to ask questions

  • Familiar with JIRA, Asana, Trello or similar tracking tool

Compensation 

We offer attractive industry-level salaries, based on performance/experience, level and skills, as well as paid time off. 

Please send a cover letter and your CV to ee-jobs@bigdatafed.com

Software Engineer (Moldova)

Location: Chisinau, Moldova

Employment type: Regular full time    

Company Big Data Federation, Inc. uses machine-learning algorithms and exogenous big data to uncover patterns and precise drivers of companies' financials and macroeconomic indicators. Our AI SaaS Enterprise solution is a comprehensive prediction tool designed to help companies in demand prediction, financial planning, identifying latent macroeconomic risks, and discovering industry inflections. BigDataFed is venture-backed startup with high-profile investors and high profile advisors.  

Job Profile: As a data engineer, you will join an experienced and diverse team of software engineers and data scientists as a key contributor to our predictive analytics platform, where you will be responsible for ingesting new data sources into our data platform.

  • You will develop/maintain the docker-based data platform to ingest data from external sources and validate/store it in our cloud (centralized databases and distributed stores), and serve it up to applications (centralized and distributed) through internal APIs

  • You will develop a new application platform to sit on top of the data platform to make available applications performing higher-level algorithmic operations on data via ingested data APIs. The work could be focused on back-end or front-end, although full stack is preferable

  • You will create and maintain docker-based microservices API (nodejs/express) * Write data ingestion modules from external sources (nodejs/python or java)

We particularly seek passionate, data-oriented candidates who are eager to learn new skills, and to mentor their colleagues in areas where they themselves excel.

Qualifications

  • Bachelor’s or higher degree in computer science, or an engineering/math/statistics/science discipline with a strong CS component.

  • Python and MySQL are required.  Ruby on Rails, NodeJS, Java, AWS and ECS are a plus.

  • Experience creating restful APIs Qualifications

  • Experience working with databases (mysql)

  • Experience in using Docker is an important advantage

  • Experience working with or understanding the architecture of AWS/ECS services is a plus

  • Agile development, continuous integration and test-driven design a plus

  • Experience creating and consuming RESTful APIs is an important advantage

Compensation 

We offer attractive industry-level salaries, based on performance/experience, level and skills, as well as paid time off. 

Please send a cover letter and your CV to ee-jobs@bigdatafed.com

 

Our Offices

990 Linden Drive, Suite 220

Santa Clara, CA 95050

United States

 

 

 

 

 

 

National Business Center, Of. 202

Stefan cel Mare si Sfant Boulevard 73/1,

Chisinau

Rep. of Moldova

 
 

Contact

 

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