Principal Data Scientist, Octus
$170.4-210k
+ Commission-based compensation
Unleashing insights for accelerated financial decisions
Job no longer available
Unleashing insights for accelerated financial decisions
501-1000 employees
Job no longer available
$170.4-210k
+ Commission-based compensation
501-1000 employees
Company mission
To empower subscribers to discover and synthesize the information that matters through the combination of passionate experts and innovative technology.
Role
Who you are
- Requires a Master’s degree in Data Science and 4 years of experience in job offered or 4 years of experience in the Related Occupation. Experience can be pre or post degree
- 2 years of experience as a Data Scientist or any other job title performing the following job duties:
- Build pipelines for data acquisition by writing code for querying huge amounts of unstructured textual data from a variety of data sources like Financial SEC filings of publicly traded companies, private & public company press releases, co. transcripts, bond offering memorandum docs, etc. using Elasticsearch & RMySQL frameworks in R & database software like HeidiSQL to query databases like MySQL & MongoDB
- Utilize frameworks like XML, rjson, pdftools in R to parse & process data from different sources & formats incl. .pdf, XML, json, csv etc. & store it in a structured & organized format for data processing, analysis, & modeling
- Devise & implement processes to perform data preprocessing & assessment of data quality text processing & statistical techniques incl. imputation to handle missing data, data type conversions to maintain consistency in data integration, dimensionality reduction, normalization, feature aggregation, encoding, etc
- Leverage frameworks in R incl. OpenNLP, Quanteda, tm, text2vec to provide comprehensive functionality for text analysis & natural language processing. Utilize frameworks daily for a variety of tasks incl. corpus creation & management, tokenization, formulation of doc. feature matrices, parts-of-speech tagging, entity extraction, etc. to generate analysis for data exploration, engineer features, formulate details of the model, & overall build robust frameworks for projects
- Execute defined frameworks for project that req. data-driven solutions by building, execute, & test various data science models or enhance existing models using text mining & machine learning algorithms. Track & monitor model’s performance by testing & debugging when req. Incorporate feedback, bus. requests from stakeholders to continually improve & enhance workflow & performance
- And 2 years of experience as an Analyst or any other job title performing the following job duties:
- Evaluating alternative datasets like – Consumer Transactional, Email Receipt, URL Clickstream, OTA Pricing/Booking, Import/Export Shipments, Geolocation data & performing analysis to study & track market shifts, industry trends, & user dynamics. Generating actionable insights used in developing the investment thesis for the Long Short Equity Strategy
- Utilizing PostgreSQL & Microsoft SQL Server for database querying, data retrieval, pre-processing & tagging
- Performing predictive analytics on big data which incl - data munging, data validation, normalization, regression analysis, back testing, data visualization using tools like Python, SQL, Excel, & Tableau. Identifying abnormalities & opportunities & recommending trades to the trading desk
- Building predictive models to forecast co. KPIs like “Revenue”, “Orders/Transaction Volume”, “Attendance”, etc. for publicly traded co. in the US Consumer sector. Developing techniques to analyze user retention & churn & built models that predict subscribers for co. in the OTT streaming & Cable sector
- Developing novel data-driven processes using natural language processing techniques onto alternative data to drive qualitative analyses & building KPI prediction models - like development. Leveraging natural language processing & machine learning algorithms
What the job involves
- Build pipelines for data acquisition by writing code for querying huge amounts of unstructured textual data from a variety of data sources like Financial SEC filings of publicly traded companies, private & public company press releases, co. transcripts, bond offering memorandum docs, etc. using Elasticsearch & RMySQL frameworks in R & database software like HeidiSQL to query databases like MySQL & MongoDB
- Utilize frameworks like XML, rjson, pdftools in R to parse & process data from different sources & formats incl. .pdf, XML, json, csv etc. & store it in a structured & organized format for data processing, analysis, & modeling
- Devise & implement processes to perform data preprocessing & assessment of data quality text processing & statistical techniques incl. imputation to handle missing data, data type conversions to maintain consistency in data integration, dimensionality reduction, normalization, feature aggregation, encoding, etc
- Leverage frameworks in R incl. OpenNLP, Quanteda, tm, text2vec to provide comprehensive functionality for text analysis & natural language processing. Utilize frameworks daily for a variety of tasks incl. corpus creation & management, tokenization, formulation of doc. feature matrices, parts-of-speech tagging, entity extraction, etc. to generate analysis for data exploration, engineer features, formulate details of the model, & overall bld. robust frameworks for projects
- Execute defined frameworks for project that req. data-driven solutions by building, execute, & test various data science models or enhance existing models using text mining & machine learning algorithms. Track & monitor model’s performance by testing & debugging when req. Incorporate feedback, business requests from stakeholders to continually improve & enhance workflow & performance
- Conceptualize & build supervised &/or unsupervised models from structured &/or unstructured text data
- Generate static & interactive data visualizations using frameworks & tools incl. ggplot, Shiny, d3.js to share & present complex ideas, results, project takeaways w/ tech. & non-tech. stakeholders
- Review, evaluate, & communicate recommendations on modeling techniques & results to team, leadership, & stakeholders. Develop case studies using model output & suggest ways insights might be used
- Deploy models in real-time by writing production-level code for scalable models & integrating it w/in the company’s data infrastructure
- Collaborate & participate w/ different business units across the company to identify areas where data science can be used to automate manual processes
- Mentor & lead new & junior members of the team
- Formulate & implement ideas at intersection of distressed debt investing & data science, develop credit-risk models & transform into data products
Our take
Octus, formerly Reorg, is a global provider of credit intelligence, data and analysis of issues affecting the distressed debt, event-driven and leveraged finance markets. The company sets itself apart by taking an approach that combines reporting with financial and legal analysis, providing a holistic view and delivering that view in real-time.
Octus has fundamentally changed the way in which financial and legal professionals access complex business information. Its service reaches over 25,000 people across a variety of institutions and its subscription-based service is giving organisations the ability to replace the work of junior attorneys.
Octus garnered considerable interest from several private equity and strategic rivals due to its expensive subscription-based services that have proven to result in stable growth for clients. Octus's services are particularly valuable and its 2022 buyout by British global investment firm Permira opens the doors to vast opportunities for Octus's further growth.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Company benefits
- Medical, dental, vision and 401(k) benefits
- A flexible, hybrid working policy with home office reimbursements
- Reimbursements for career development and continuing education
- Generous paid time off – including vacations, sick leave and parental leave
- Employee referral bonuses
- Gym subsidies and other fun fitness benefits
- Kudos program to recognize and reward colleagues
- Manager training programs
Company HQ
NoMad, New York, NY
Leadership
Kent Collier
(Founder &)Experienced Analyst having previously worked at Catalyst Investment Management and Millennium Partners, also worked as the Vice President at Assurant Asset Management.
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