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Data Scientist I
$87k-107k (estimate)
Full Time | Print & Book Publishing 2 Days Ago
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O'Neil Digital Solutions, LLC is Hiring a Data Scientist I Near Plano, TX

About Us

O'Neil Global Advisors (OGA) is an investment advisor that builds algorithmic strategies based on proprietary quantitative factor research pioneered by investing legend William J. O'Neil. Bill's methodology has achieved consistent success over more than five decades, and OGA's strategies provide our clients with an exclusive way to capture the success of his powerful and disciplined approached to investing. We develop strategies that are inspired by Bill's disciplined quantitative approach and incorporate his desire for constant improvement through ongoing backtesting.

Summary

Studies investment factors and shares significant findings through research reports. Develops the methods and tools used to study investment factors. Helps investment managers apply factor research to their investment strategies.

Duties and Responsibilities

  • Develop new factors that are beneficial to our investment strategies
  • Study deeper data science topics and presents findings to the team
  • Analyze investment factors using efficient and robust methods
  • Apply machine learning techniques to develop models
  • Run backtests to prove the efficacy of factors and models
  • Share findings from factor analysis and backtesting with the group
  • Write research notes and reports related to significant findings
  • Propose creative solutions to research challenges
  • Teach and mentor junior team members

Qualifications & Requirements

  • Bachelor’s degree or higher in data science, math, engineering, or a related field
  • 2-5 years prior experience working with project teams in a corporate environment
  • Advanced skill with data science topics such as machine learning, data mining, statistics, and classification
  • Advanced skill with SQL used to gather, analyze, and clean market data is required
  • Advanced skill with Python libraries such as Pandas, NumPy, MlPy, MatPlotLib, and SciPy is required
  • Working knowledge of tools such as R or MatLab is a plus
  • Familiarity with financial statistics, common investment styles, and market cycles is a plus
  • Familiarity with algorithmic trading & backtesting using Python (Zipline, PyFolio, AlphaLens, etc.) is a plus
  • Personal interest in equity investments is a plus
  • Highest levels of integrity and professional maturity
  • Highly organized, analytical problem solver
  • Collaborative teammate
  • Clarity and precision in written and oral communication

Working Conditions

While performing the duties of this job, the employee is regularly required to sit, stand, walk and use hands to type. The noise level in the work environment is usually moderate. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Equal Opportunity Employer

O'Neil Global Advisors is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Print & Book Publishing

SALARY

$87k-107k (estimate)

POST DATE

06/27/2024

EXPIRATION DATE

08/28/2024

WEBSITE

oneildigitalsolutions.com

HEADQUARTERS

LOS ANGELES, CA

SIZE

200 - 500

FOUNDED

1973

CEO

WILLIAM O NEIL

REVENUE

$10M - $50M

INDUSTRY

Print & Book Publishing

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The job skills required for Data Scientist I include Data Science, Machine Learning, Python, SQL, Data Mining, Oral Communication, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist I. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist I. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Scientist I positions, which can be used as a reference in future career path planning. As a Data Scientist I, it can be promoted into senior positions as a Data Scientist II that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist I. You can explore the career advancement for a Data Scientist I below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Scientist job description and responsibilities

Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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