Careers

Who You Are:

BlackSwanTechnologies.ai is seeking to fill a Full-Stack Data Scientist position on our Data Science team.
You are a Data Scientist Team Leader, an experienced quantitative thinker who wants to develop further as both a data scientist and a manager. You are skilled at finding the precise mathematical kernels of real-world problems and want to bring that talent to bear on the business questions facing the world’s leading companies. You are excited to apply your existing expertise in fields such as statistics and computer science on BlackSwan’s ELEMENT state-of-the-art infrastructure. You are excited to work at a startup where you will have a chance to expand your scientific and engineering skills to new areas.
We work closely with the Product Management team and Platform engineers to anticipate company needs and quickly put state-of-the-art mathematical tools into the hands of end users. Members of the Data Science team translate real world problems into quantitative language, find or create algorithms to solve those problems, and implement them in code. Our team values a creative and empathetic approach to problem solving and strives to maintain rigorous scientific and engineering standards. We will give you the opportunity to work on the full data science pipeline, bringing solutions from basic research all the way to production.

What A Great Candidate Looks Like:

• Work closely with Product Managers, Data Scientists, and fellow ML Engineers to frame Machine Learning problems within the business context
• Provide mentorship to other ML engineers and Data Scientists in the team
  Be hands-on and involved with every stage of the ML product development cycle
• Design, extend and review ML experiments and solutions
• Evaluate, justify and communicate ML models’ performance to various stakeholders
• Write clean and tested code that can be maintained and extended by other fellow ML engineers
• Influence the Machine Learning development culture to be innovative
• Establish and extend standards and best practice for ML engineering
• Contribution to research activities in ML domain inside the company

Requirements: 

• 2+ years as Team Leader, working with Agile methodologies
• 5+ years of industry and research experience in developing machine learning products
• Excellent written and verbal communication skills, with prior experience explaining assumptions, conclusions, and methodology to both internal and external customers
• Ability to frame business requirements into Machine Learning problems that you enjoy solving
• A strong predilection for good software and the processes that make it
• Mathematical foundation including: linear algebra, vector calculus, probability, and statistics. Experience implementing this math effectively in software (e.g. Python, numpy)
• Strong foundation in machine learning & deep learning concepts including: supervised and unsupervised learning, transfer learning, ensembling, classification, regression, clustering, bias & variance, regularization, overfitting & underfitting, Logistic & Linear regressions, Decision Trees, MLP, RNNs
• Strong foundation in natural language processing concepts including: bag-of-words & TF-IDF, n-grams, word & text embedding, NER, transformers, text classification & similarity
• Proficiency in Python and PyData stack (numpy, scipy, pandas, scikit-learn)
• Fluency with popular NLP libraries (spaCy, NLTK, transformers)
• Hands-on experience with Deep Learning frameworks such as PyTorch
• Experience working in a Linux environment
• Basic Git knowledge: creating and merging branches, cherry-picking commits, examining the diff between two hashes. More advanced Git usage is a plus, particularly: development on feature-specific branches, squashing and rebasing commits, and breaking large changes into small, easily-digestible diffs
• Experience with SQL
• Understanding of algorithm complexity and performance implications
• Knowledge of classical data structures and algorithms

Bonus Experience:

• Degree in related field (Machine Learning, Data Science, Mathematics, Statistics, Computer Science)
• Familiarity with Knowledge Engineering, Graph technology, Knowledge Graphs, Graph Databases
• Machine Learning on graphs
• AWS, AWS SageMaker
• Kaggle experience

Who We Are:

Blackswan Technologies is a uniquely positioned data science and human Intelligence insights product company. In our primary application, we offer enterprise level AI empowered Business Applications to data intensive organisations. We are currently building our next generation Enterprise AI Operating system which will be the world’s most advanced and most comprehensive product for Digital Transformation. Our advantage is existing unbelievable human assets, science, engineering, and SaaS product capabilities that align very well with the technology needs.
To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth is considered a key part of your success, and of ours. We offer a flexible work environment with a family-friendly work-life balance.

Apply