Principal Data Scientist

Octus is a leading global provider of credit intelligence, data, and analytics. Since 2013, tens of thousands of professionals across hedge fund, investment banking, management consulting, and law firm verticals have come to rely on Octus to make better, faster, and more confident decisions in pace with the fast-moving credit markets.

For more information, visit : https : / / octus.com /

Working at Octus

Octus hires growth-minded innovators and trailblazers across the globe to drive our business and culture. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Octus employees enjoy competitive health benefits, matched 401k and pension plans, PTO, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices (US only), and much more.

Role

Job Description :

• 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 projects that require data-driven solutions by building, executing, & testing various data science models or enhancing existing models using text mining & machine learning algorithms. Track & monitor model’s performance by testing & debugging when required. Incorporate feedback and 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 with technical & non-technical 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 within the company’s data infrastructure.
• Collaborate & participate with 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 the intersection of distressed debt investing & data science, develop credit-risk models & transform them into data products.

Education and Experience : 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.

Related Occupation :

2 years of experience as a Data Scientist or any other job title performing the following job duties :

and 2 years of experience as an Analyst or any other job title performing the following job duties :

At Octus, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.

The salary range estimate for this position is $170,373 to $210,000.

The actual compensation will be at Octus' sole discretion and will be determined by the aforementioned and other relevant factors. This position is eligible for additional commission-based compensation.

Octus is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, pregnancy, veteran status, or any other legally protected status. We strive to create an inclusive and diverse work environment where all individuals are valued, respected, and treated fairly. We believe that diversity enriches our workplace and enhances our ability to innovate and succeed.

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Salary : $170,373 - $210,000