Job details for
Predictive Data Scientist

Predictive Data Scientist

Job Info

Category: Other
Company Description: More than 1,000 people who believe the scientific method is the best way to approach investing. Ideas backed up with information. And improved by iteration.
Salary: Highly Competitive, Depending on Experience
Position Type: Permanent
Job Number: 9383

Job Description

As machine learning and data-driven business intelligence have permeated industries, an abundance of new datasets and techniques have created opportunities for granular measurement of increasingly varied aspects of our economy. Our client is looking to hire highly creative & motivated data scientists to further scale their long-standing efforts to leverage these advancements to measure and predict the world's financial outcomes.

Our client’s data engineering platform enables them to harness some of the world's most complex & challenging content, as they structure and integrate new datasets into a diverse ecosystem of syndicated financial and industry-specific data products. Our client’s data scientists are focused on joining, enriching, and transforming datasets into novel creative measures of economic activity. They utilize a variety of modeling techniques to generate financially-relevant predictions feeding into their systematic investment management platform, we measure the performance and impact of our predictions in a variety of settings, and we further distill economic insights and thematic analyses from our data & observations.

Data Scientist Responsibilities:

  • Design & implement granular domain-specific indicators from data, relating them to company, industry, and macroeconomic factors.
  • Contribute to the design of investing strategies on economic predictions through multiple investing paradigms.
  • Manage requirements for a set of dependent data products derived from a large portfolio of integrated data feeds.
  • Contribute to data sourcing strategy across multiple industry data verticals supporting our prediction efforts.
  • Generate a series of economic insights research reports relating trends in our indicators & predictions to investment themes.

Qualifications and Experience:

  • 1-5+ years of experience in applied data analysis & prediction, preferably in an industry setting
  • Demonstrably strong data science modeling intuition and feature engineering creativity
  • Expertise in applying statistical techniques for time-series measurement/estimation and prediction
  • Intimate familiarity with the potential flaws & fallacies in the applications of specific statistical methods
  • Experience specifying & managing requirements for datasets leveraged in your analyses
  • Working knowledge of SQL and common data science toolkits : Python, R, Spark, Matlab
  • Strong written & verbal communication and presentation skills, with experience crafting a compelling narrative supported by data
  • A portfolio of open-data analyses or data-driven research publications would be ideal

Andiamo is an Equal Opportunity Employer

Andiamo provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Andiamo complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

All qualified candidates are encouraged to apply by submitting their resume as an MS word document including a cover letter with a summary of relevant qualifications, highlighting clearly any special or relevant experience.
Becca Craft

Becca Craft

Technology Talent Acquisition Specialist

Contact Recruiter

17 State Street, 8th floor
New York, New York 10004

Please Note: All inquiries will be treated with the utmost confidentiality. Your resume will not be submitted to any client company without your prior knowledge and consent.

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