1

Home Based Decision Scientist Jobs (NOW HIRING)

... based decision-making. * Maintains and innovates knowledge of data analysis tools, data ... Science or other quantitative discipline; OR 4 years of related experience in statistics ...

... based decision-making. * Maintains and innovates knowledge of data analysis tools, data ... Science or other quantitative discipline; OR 4 years of related experience in statistics ...

Experience and skills in assisting parents with advocacy and decision-making. Knowledge of adult ... join us as our next Home Based Visitor. Together, we'll help every child reach their fullest ...

Home Based Visitor

New York, NY · On-site +1

$50K - $57K/yr

Experience and skills in assisting parents with advocacy and decision-making. Knowledge of adult ... join us as our next Home Based Visitor. Together, we'll help every child reach their fullest ...

Experience and skills in assisting parents with advocacy and decision-making. Knowledge of adult ... join us as our next Home Based Visitor. Together, we'll help every child reach their fullest ...

Home Based Visitor

New York, NY · On-site +1

$50K - $57K/yr

Experience and skills in assisting parents with advocacy and decision-making. Knowledge of adult ... join us as our next Home Based Visitor. Together, we'll help every child reach their fullest ...

We are seeking a Spaceflight Data Scientist with deep expertise in Bayesian inference, Bayesian ... Familiarity with COSPAR Planetary Protection guidelines and NASA risk-based decision processes.

Showing results 41-60

Home Based Decision Scientist information

What is the difference between Home Based Decision Scientist vs Data Analyst?

AspectHome Based Decision ScientistData Analyst
Required CredentialsTypically requires a master's or PhD in data science, statistics, or related fieldsOften requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentPrimarily remote, focusing on advanced modeling and decision-making tasksCan be remote or on-site, mainly involved in data collection, cleaning, and reporting
Employer & Industry UsageUsed in industries like finance, healthcare, and marketing for strategic decisionsCommon in retail, marketing, and business intelligence for operational insights

The main difference is that a Home Based Decision Scientist focuses on developing complex models and strategic decision-making from a remote setting, often requiring advanced degrees. In contrast, a Data Analyst typically handles data processing and reporting, with a broader range of educational backgrounds and often more operational tasks.

How much does a home based decision scientist make?

A home-based decision scientist typically earns between $80,000 and $130,000 annually, depending on experience, education, and industry. Many roles also offer flexible schedules and require skills in data analysis, statistical modeling, and programming tools like Python or R.

Is decision science a good career?

Decision science is a growing field that involves analyzing data to inform strategic choices, often requiring skills in statistics, data analysis, and programming. It offers opportunities in various industries such as healthcare, finance, and technology, with roles typically involving problem-solving and critical thinking. The career can be rewarding for those interested in data-driven decision-making and continuous learning.

What cities are hiring for Home Based Decision Scientist jobs?

Cities with the most Home Based Decision Scientist job openings:

What are the most commonly searched types of Decision Scientist jobs?

The most popular types of Decision Scientist jobs are:

What states have the most Home Based Decision Scientist jobs?

States with the most job openings for Home Based Decision Scientist jobs include:

Sr. Decision Scientist - Academic Affairs and Transformational Partnerships

Excelsior Collage

Albany, NY • On-site

Full-time

Re-posted 15 days ago


Job description

Join a team that transforms data into decisions-using advanced analytics, AI, and experimentation to unlock opportunity, improve student outcomes, and shape strategy across a mission-driven university.
Excelsior University is seeking a Senior Decision Scientist to leverage data science to drive strategic initiatives, improve operational efficiency, and achieve institutional goals. As part of the larger Analytics and Data Science Team, this subunit works with Academic Affairs and Transformational Partnerships who, among other things, are tasked with student success and market demand analytics. A candidate with experience in higher education, student performance, engagement, marketing research, product and portfolio management, and/or demand forecasting is highly desirable.
Reporting to the Director of Analytics and Data Science, the decision scientist will collaborate closely with business partners in Academic Affairs and Transformational Partnerships. The role will be responsible for using machine learning, predictive modeling, experimental design, and other analytical techniques to inform strategic decisions and identify opportunities for efficiency and growth. This remote position gives you the opportunity to lead innovative projects and support Excelsior's mission of serving adult learners, with an emphasis on those historically underrepresented in higher education. The ideal candidate combines technical expertise, intellectual curiosity, and strong communication skills to drive impact in a higher education environment.
We believe work should fit your life, not the other way around. While it is preferred that team members be located in Albany, New York, or a nearby area, remote work options will be considered. Our hybrid schedule has you in the Albany office on Tuesdays and Wednesdays, with the flexibility to work from home on other days. Spend less time commuting and more time focusing on meaningful work or personal priorities. Core hours are 8:30 AM-5:00 PM, including a 1-hour lunch, for a 37.5-hour week.
Duties and Responsibilities include the following:
  • Demonstrated knowledge and application of data analysis and statistical modeling, preferably in an academic, educational, or marketing setting.
  • Ability to design, analyze and model business opportunities and processes.
  • Proficiency in programming languages such as Python or R
  • Strong understanding of database systems and data manipulation techniques
  • Proficiency with relational databases and SQL
  • Excellent interpersonal and communication skills, with the ability to convey complex analytical concepts to non-technical stakeholders.
  • Ability to work collaboratively and effectively with academic and business leaders.
  • Strong problem-solving skills and a proactive approach to identifying opportunities for improvement.
  • Strong attention to detail, thoroughness, and follow through.
  • Ability to work independently and meet deadlines.
  • Ability to prioritize and manage multiple tasks.
  • Ability to work cross-functionally and collaboratively.

Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Bachelor's degree in social sciences, psychology, business analytics, statistics, economics, data science, or other research-based quantitative or empirical field; Masters or Doctoral level education in quantitative analysis is preferred.
  • Five or more years of relevant experience.
  • Experience with market research, demand forecasting, and other techniques to expand our institution and program offerings is preferred.
  • Knowledge of business modeling and business analysis to develop and maintain cost allocation and return on investment (ROI) models.
  • Familiarity with Lightcast is preferred.
  • Experience with GenAI or LLMs is preferred.
  • Demonstrated knowledge and application of data analysis and statistical modeling, preferably in an academic, educational, or marketing setting.
  • Ability to design, analyze and model business opportunities and processes.
  • Proficiency in programming languages such as Python or R
  • Strong understanding of database systems and data manipulation techniques
  • Proficiency with relational databases and SQL
  • Excellent interpersonal and communication skills, with the ability to convey complex analytical concepts to non-technical stakeholders.
  • Ability to work collaboratively and effectively with academic and business leaders.
  • Strong problem-solving skills and a proactive approach to identifying opportunities for improvement.
  • Strong attention to detail, thoroughness, and follow through.
  • Ability to work independently and meet deadlines.
  • Ability to prioritize and manage multiple tasks.
  • Ability to work cross-functionally and collaboratively.

The hiring salary range for this position is $85,000.00 - $95,000.00. The hiring salary range above represents the University's good faith estimate at the time of posting
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.