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Remote Cfa Data Science Jobs in Maryland (NOW HIRING)

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field (or ... Work Flexibility This role is eligible for full time remote work.

Senior Data Analyst (Remote)

Baltimore, MD · Remote

$85K - $107K/yr

Bachelor's Degree in Data Science, Mathematics, Computer Science, Statistics, Business or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is ...

Data Engineer

California, MD · On-site +1

$137K/yr

Collaborate with data scientists to build pipelines for training and deploying machine learning ... This position is eligible for fully remote work from any location in the United States. Minimum ...

Showing results 21-40

Remote Cfa Data Science information

What is a remote CFA Data Science?

Remote CFA Data Science jobs are positions that combine expertise in data science with knowledge of finance, specifically leveraging the Chartered Financial Analyst (CFA) credential. Professionals in these roles analyze financial data, build predictive models, and provide insights to guide investment decisions—all while working remotely. These jobs typically require strong quantitative skills, proficiency in programming languages like Python or R, and a deep understanding of financial markets. The remote aspect allows for flexible work arrangements, enabling professionals to contribute from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote CFA Data Science professional?

To excel as a Remote CFA Data Science professional, you typically need a solid background in quantitative analysis, financial modeling, and data science, with a CFA designation and a degree in finance, statistics, or a related field. Familiarity with tools such as Python, R, SQL, and financial analytics platforms, along with proficiency in data visualization software, is essential. Strong problem-solving abilities, communication skills, and self-motivation are vital soft skills for effective collaboration and independent remote work. These competencies ensure accurate financial insights, efficient data-driven decision-making, and effective teamwork across distributed environments.

How do remote CFA Data Science professionals typically collaborate with cross-functional teams despite working remotely?

Remote CFA Data Science professionals often collaborate with investment analysts, portfolio managers, and IT teams through digital communication tools like Slack, Zoom, and project management platforms. Regular virtual meetings, shared dashboards, and collaborative coding environments help streamline workflow and ensure everyone stays aligned on project goals. While time zone differences or limited face-to-face interaction can be challenging, clear documentation and proactive communication are key strategies to maintain effective teamwork.

What is the difference between Remote Cfa Data Science vs Remote Cfa Investment Analyst?

AspectRemote Cfa Data ScienceRemote Cfa Investment Analyst
CredentialsCFA Charter, Data Science skillsCFA Charter, Investment analysis skills
Work EnvironmentData analysis, modeling, programmingFinancial research, portfolio management
Industry UsageFinance, tech, data-driven firmsAsset management, investment firms

Remote Cfa Data Science focuses on applying data analysis and modeling techniques within finance, often requiring programming skills alongside CFA credentials. In contrast, Remote Cfa Investment Analysts primarily conduct financial research and portfolio analysis. Both roles are CFA-certified and operate in finance but differ in daily tasks and skill sets.

What are the most commonly searched types of Cfa Data Science jobs in Maryland?

The most popular types of Cfa Data Science jobs in Maryland are:

What are popular job titles related to Remote Cfa Data Science jobs in Maryland?

For Remote Cfa Data Science jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Remote Cfa Data Science jobs in Maryland look for?

The top searched job categories for Remote Cfa Data Science jobs in Maryland are:

What cities in Maryland are hiring for Remote Cfa Data Science jobs?

Cities in Maryland with the most Remote Cfa Data Science job openings:

Data Scientist, Level 1

WOOD Federal Solutions

Fort George G Meade, MD • On-site, Remote

$138K - $152K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

Overview

Data Scientist, Level 1

woodfederalsolutions.com

Location: Fort Meade, Maryland, USA

Job Type: Full-Time

Shift: Day

Telework: None

Salary Range: **$138,200 to $152,000 per year

** Starting salary is based on minimum education and years of experience and increases based on education and/or experience.

Overview: We're seeking a Data Scientist who turns complex data into clear, actionable insight. In this role, you will design and prototype machine learning, statistical, graphbased, and datamining algorithms to analyze diverse datasets. You'll compare candidate models with rigorous performance metrics, build experiments or synthetic datasets when real data is limited, and translate findings into concise reports and visualizations for customers. Working closely with subject matter experts, you'll convert manual analyses into automated analytics and implement prototype algorithms within production frameworks so insights flow directly into analyst workflows. Join us to shape decisions with data-grow your expertise, build productiongrade analytics, and accelerate your career at the intersection of AI and mission impact.

Security Clearance Requirements:

This position requires all candidates to be U.S. Citizens and possess an active TS/SCI Security Clearance with a Polygraph.

Responsibilities
  • Produce data visualizations that provide insight into dataset structure and meaning.
  • Collaborate with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs).
  • Incorporate SME input into feature vectors suitable for analytic development and testing.
  • Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes.
  • Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
  • Develop statistical tests to make data-driven recommendations and decisions.
Qualifications

Required Education & Years of Experience:

  • Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, and engineering or computer science) from an accredited college or university, and four (4) years of experience analyzing datasets and developing analytics and two (2) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
    • A Master's degree in relevant discipline may be substituted for two (2) years of relevant experience analyzing datasets anddeveloping analytics, and one (1) year of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.
    • In lieu of a Bachelor's Degree, an additional four (4) years of relevant experience may be substituted for a total of eight (8) years of relevant experience analyzing datasets and developing analytics, and two (2) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
About WOOD

Fringe Benefits:

  • Health Insurance: Comprehensive medical, dental, and vision plans.
  • Retirement Plan: 401(k) with company match.
  • Paid Time Off: Generous PTO policy including vacation, sick leave, and holidays.
  • Professional Development: Opportunities for training, certifications, and career advancement.
  • Work-Life Balance: Flexible work schedules and remote work options.
  • Wellness Programs: Employee assistance programs, wellness initiatives, and gym membership discounts.

Why Join Us?

  • Career Growth: Take advantage of professional development opportunities and career advancement. As a vital part of impactful projects, you will have the chance to drive innovation and shape the future of government systems engineering.

  • Supportive Environment: Work in a collaborative and flexible environment that values work-life balance. Join a team of top-tier professionals and engage in dynamic, cross-functional collaboration. Your strategic mindset and proactive approach will be highly valued and supported.

  • Competitive Compensation: Enjoy a competitive salary and comprehensive benefits package. We recognize and reward your expertise and dedication to excellence.

WOOD Federal Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Employment Type: OTHER