Senior Data Scientist, Alkymi
$151-185k
Intelligent data processing and workflow automation
Job no longer available
Intelligent data processing and workflow automation
21-100 employees
Job no longer available
$151-185k
21-100 employees
Company mission
To bring automation and risk analytics to capital markets.
Role
Who you are
- This position requires a Master’s degree or the equivalent in Computer Science, Mathematics, or a related field
- Must have 2 years of related experience
- Must also have 12 months of experience, as demonstrated through employment or academic coursework, with each of the following:
- Analyzing large datasets to identify patterns and data insights
- Build and deploy systems for automating business processes
- Experience with Python, CRF, RNN, CNN, Transformer; Tensorflow; Pytorch
- Experience with source code management, debugging, testing, and deployment
- Experience with text pre-processing and normalization techniques, including tokenization and POS tagging
- Experience using Natural Language Processing deep learning algorithms
- Employer will accept experience gained before, during, or after a Master’s program
What the job involves
- The Senior Data Scientist is responsible for developing and implementing cutting-edge Natural Language Processing (NLP) algorithms that automate the processing of business documents
- The Senior Data Scientist will work closely with our product and engineering teams to ensure that our solutions are scalable, efficient, and effective
- Design NLP pipelines to meet customer requirements
- Use different approaches for training entity tagging models (e.g. CRF, RNN, CNN, Transformer)
- Analyze large datasets to identify patterns and insights that drive business decisions
- Stay up-to-date on the latest developments in computer vision and NLP research, and incorporate new techniques into our solutions
- Communicate technical concepts and insights to both technical and non-technical stakeholders
- Build and deploy systems for automating business processes
- Use Python and source code management, debugging, testing, and deployment to develop software
- Use text pre-processing and normalization techniques including tokenization and POS tagging
- Use asynchronous programming and frameworks such as Tensorflow, Pytorch, and Natural Language Processing deep learning algorithms
- Oversee the work of and mentor junior data scientists
Otta's take
Sam Franklin
CEO of Otta
The rise of automation software has proven a real boon for handling the various time-consuming administrative tasks that keep professionals away from the work they’re trained to do best. Alkymi is one of the startups developing it, with a focus on assisting analysts in the financial services sector.
The Alkymi data workflow automation platform offers two products that help analysts extract and act upon unstructured business data in emails and documents. It can be easily customised, allowing users to leverage the benefit of machine learning and computer vision - without needing deep expertise in the area. This chimes with a broader no-code movement in the SaaS market, as startups look for lucrative ways to help companies manage the tech talent shortage.
Alkymi has focused initially on financial services because of the vast amounts of data processing that analysts in the sector have to do each day. It’s a significant drain on time and resources, but it’s an issue that extends equally to other verticals. Beginning with the more complex use case will allow Alkymi to more readily expand to other sectors as it releases new products and develops its current range.
Insights
Company
Funding (last 2 of 3 rounds)
Oct 2022
$21m
SERIES A
Nov 2021
$9m
EARLY VC
Total funding: $35m
Company benefits
- Employer-paid health, vision and dental premiums
- Company-sponsored 401(k) plan
- Generous vacation policies
- Macbook Pro with your choice of monitor(s) and accessories
- Maternity and paternity leave
- Career advancement and educational opportunities
Company HQ
Midtown Manhattan, New York, NY
Founders
Harald Collet
(CEO)Held various roles at Oracle, ultimately serving as Senior Director of Governance Risk & Compliance. Then moved into a VP role at Autonomy, and after that served as GM at Bloomberg.
Adam Kleczewski
(Chief Data Scientist)Holds a PhD in Physics from the University of Washington, and worked as a Research Scientist at Agilent Technologies, before moving to x.ai as a Senior Data Scientist.
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