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big Data, big insights, big Results

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

Interconnecting data for intelligent investing

Driven by AI fundamentals predictions

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

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

Survival of the fittest

Powered by technology, we live in an increasingly elaborate and fast-moving global society. With trends bubbling and fading as fast as tweets, consumer behavior is ever more dynamic and global supply chains ever less linear.

In this frenetic data-driven new world order, developing skills to disentangle complex relationships and predict key emerging trends is foundational for future success.  Governments, businesses, and investors alike must rapidly adapt; those that don’t will simply fail.  

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

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

DATA hunting

The first step lies in identifying and ingesting the abundance of information originating across the globe. Such big data tend to be wild and unwieldy — large in size, and requiring capturing, cleaning, aggregating, retrieving, mapping, and connecting before they can be put to good use.  

gearing up

Making sense of intelligence to accurately predict business and economic metrics is the second order of business. With big data arise bigger analytical challenges. In this day and age, spreadsheets and simplistic traditional statistical models alone are inadequate for interpreting mass data. Extracting intelligence requires more advanced statistical methodologies.

bringing order to chaos

For each fundamentals prediction relevant data need to be identified and appropriate interconnects distinguished from the noise. With global product innovations and consumer tastes constantly changing, what’s driving an economy or a company’s revenues today might not be the same as a year from now. Thus, while the best algorithms are selected through rigorous backtesting on historical big data, they need to be able to learn, evolve, and self heal. To ensure ongoing optimal performance, formulas additionally require updating, maintenance, and oversight. A track record of accuracy is built over days, months, and years. If algorithms ultimately cannot stand the test of time, new models must be constructed.

a will of their own

Creating dynamic models to generate predictions is labor intensive and time consuming. Combined with the complexities associated with identifying and processing mass data, this might explain why some of the world’s largest institutions lack success in producing accurate insights and predictions from data.

"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

harnessing the power of big data

Big Data Federation believes the human brain faces limitations in terms of bias and analytical capability and thus the ability to make optimal and objective judgements. Our purpose is to leverage data-driven fundamentals predictions for profitable investing and decision making.

A home grown, scalable, and smart data platform continuously amasses and processes tens of billions of data records per day from a diverse and growing number of exogenous data sources.  

Our learning and self-healing algorithms uncover patterns in these data and identify leading and lagged interconnects to develop fundamentals predictions several quarters out for a company, its customers, suppliers, industry, and the macroeconomy.  

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built to succeed

Each quarter we generate and record predictions for around 2,000 U.S. publicly-traded companies. For the past 12 quarters, our algorithms have consistently predicted business fundamentals with ~99% accuracy and ~1% standard deviation of error. 

putting predictions to work

Big Data Federation’s predictions reveal emerging growth trends and inflections — providing insights into latent risks and emerging opportunities driving companies, industries, and economies.  

We use these predictions to fuel our fully-automated multi strategy hedge fund and to advise enterprise clients on risk management and financial planning.

“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

Who we are

Big Data Federation, Inc. is an artificial intelligence-driven FinTech company which develops and applies innovative machine-learning technologies to big data to predict financial and economic metrics.

We comprise a group of technologists, mathematicians, data scientists, economists, and programmers in Silicon Valley and Europe. 

The company was incorporated in 2015, is headquartered in Santa Clara, California and has an office in Chișinău, Moldova.

JOBS       

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 writing highly scalable, highly available, modular software components

    Experience with relational databases (mysql, query optimization, troubleshooting)

    Experience using Docker, containerized deployment

    Experience creating RESTful APIs and micro-services

    Experience with AWS/ECS services and other AWS stack is a plus

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

    Knowledge of English spoken and written at medium level is required

Compensation

Competitive salary; stock options; 401(k); Health benefits: medical, vision, and dental; paid time off.

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 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 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; 401(k); Health benefits: medical, vision, and dental; paid time off.

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

Software Architect

Location: Santa Clara, CA    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

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

Business Development, 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 external 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

In this role you will be an enthusiastic champion for our real-time AI solution.  This radical product provides long-range predictions driven by mass external data which is revolutionizing the world of corporate planning.  We are looking for someone bold and steadfast to drive the sales and marketing of this forward-looking product. You will report directly to the CEO.

Your duties could include:

  • Expanding the customer base for the Enterprise solution, focusing initially on large-cap technology companies' finance departments

  • Building out the positioning/messaging/value-proposition

  • Generating marketing materials

  • Inbound and outbound marketing strategies

  • Identifying and attending events and conferences

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

  • Identifying and developing partnership strategies

We’re looking for someone who has

  • Ambition, energy, and drive who would like to cut their teeth on leading-edge AI technology 

  • An understanding of technology and finance

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

  • Background in enterprise SaaS sales and marketing preferred

  • Experience in sales preferred

  • Startup background 

  • Investment banking experience preferred

  • Recent MBA or finance major 

Compensation

  • Competitive salary and generous commission

  • Stock options

  • Full health benefits: medical, vision and dental

  • 401(k)

  • Paid time off

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

Visa Type: We do not sponsor applicants for work visas

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.

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.

Please send cover letter and resume 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,

Chișinău

Rep. of Moldova

 
 

Contact

 

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