Data Scientist Data Sourcing Expert

About the job
Alpha Recon is a rapidly growing SaaS company that is disrupting the risk technology and management space to help keep people safer. We will be helping to save lives. The ideal candidate will help as we continue to develop game changing data science technology.

Do not apply if you need via sponsorship. Applicants must fully understand multiple aspects of big data systems, analytics, ML/AI with a focus on data sourcing technical skills, building scrapers, NLP, and data ingest. If you are not experienced with building scrapers, please don't apply. The candidate must be motivated, entrepreneurial, creative, well organized and willing to work for stock options and/or below market salary. There are strong business opportunities already in place. We prefer entrepreneurial minded candidates that wish to be with the company long term. The candidate will also be involved with project planning, scoping, and provide input for systems design. This candidate will be focused, driven, and have strong communication skills. They should be able to think critically, have excellent time management skills, and have a demonstrated ability to execute in chaotic or fast paced environments. This is a remote position with no travel required. We cannot sponsor visas at this time.

We are looking for long term teammates. The stock options compensation will reflect our commitment.

Responsibilities

Understand multi-source data sensor and ingest technologies
Design and build web scrapers
Understand and develop database structures to support ML/AI processes and analytics.
Collaborate with engineering team to bring analytical prototypes to production
Work with stakeholders to optimize data science to support intelligence operations
Strong communication and interpersonal skills
Focused and goal-oriented

Qualifications

Bachelor's degree or equivalent experience in quantitative field (Engineering, Mathematics, Computer Science, Architecture/Db, etc.)
At least 4 years' of experience in big data, with emphasis on scraping.
Solid understanding of NLP and the normalization of data.