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Afternoon Research Data Scientist Jobs (NOW HIRING)

As a Research Data Scientist, you will conduct data science research, develop tools for insights in experimental data, and communicate findings to support major organizations. Responsibilities : • ...

As a Research Data Scientist, you will conduct data science research, develop tools for insights in experimental data, and communicate findings to support major organizations. Responsibilities : • ...

The Research Data Scientist role involves conducting data science research, developing tools for insights, and prototyping improvements to core platform features. Responsibilities : • Conduct data ...

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel ...

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel ...

Title: Research Data Scientist Location: Onsite, Pittsburgh, PA 15213 Type: Direct-Hire/Permanent Hours: Standard business hours Start: May Overview: Join a cutting-edge lab to discover novel ...

POSITION SPECIFICS We are looking for Research Data Scientist, to join our Geospatial Data Science team in the Applied Research Laboratory (ARL) at Penn State. You will aid our research efforts in ...

POSITION SPECIFICS We are looking for Research Data Scientist, to join our Geospatial Data Science team in the Applied Research Laboratory (ARL) at Penn State. You will aid our research efforts in ...

The Role Abridge is hiring a Senior Research Data Scientist to join our Strategic Research team. This role sits at the intersection of rigorous research, complex empirical data work, and deep cross ...

Aicadium is looking for a Senior Research Data Scientist to push the boundaries of computer vision and machine learning in real-world industrial settings. This is a hybrid role based in San Diego ...

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Afternoon Research Data Scientist information

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$122.7K

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How much do afternoon research data scientist jobs pay per year?

As of Aug 20, 2026, the average yearly pay for afternoon research data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does an afternoon research data scientist do?

An Afternoon Research Data Scientist typically analyzes and interprets complex data sets to help organizations make informed decisions, with a work schedule that primarily falls in the afternoon. They use statistical methods, machine learning, and data visualization to extract insights from data. Their role may involve designing experiments, building predictive models, cleaning data, and presenting findings to stakeholders. This position often requires strong programming skills and knowledge of data analysis tools.

What are the key skills and qualifications needed to thrive as an afternoon research data scientist?

To thrive as an Afternoon Research Data Scientist, you generally need a strong background in statistics, machine learning, and data analysis, often supported by an advanced degree in a quantitative field. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based data platforms is typically required, along with experience using version control systems such as Git. Strong problem-solving, communication, and collaboration skills set exceptional candidates apart in this analytical and team-oriented environment. These skills and qualities are crucial for extracting actionable insights from complex data and effectively communicating findings to stakeholders.

How does an afternoon research data scientist typically collaborate with other team members, and what is the structure of their workday?

An Afternoon Research Data Scientist often works closely with data engineers, other data scientists, and subject matter experts to analyze complex datasets and develop models that support ongoing research projects. Their workday usually starts later in the day, allowing them to overlap with both early and late team shifts for effective handoffs and collaboration. Regular responsibilities include data cleaning, hypothesis testing, and presenting findings during team meetings or virtual check-ins. This role requires strong communication skills to ensure insights are clearly conveyed to both technical and non-technical stakeholders.

What is the difference between Afternoon Research Data Scientist vs Data Analyst?

AspectAfternoon Research Data 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 EnvironmentResearch-focused, often in labs or R&D departments, with emphasis on modeling and experimentationBusiness-focused, working with dashboards, reports, and data visualization tools
Employer & Industry UsageUsed in tech, research institutions, and R&D departments within various industriesCommon in finance, marketing, healthcare, and retail sectors

The Afternoon Research Data Scientist primarily focuses on developing models and conducting research to generate insights, often requiring advanced degrees. In contrast, Data Analysts typically handle data cleaning, reporting, and visualization to support business decisions. Both roles are essential but differ in scope, complexity, and work environment.

What cities are hiring for Afternoon Research Data Scientist jobs?

Cities with the most Afternoon Research Data Scientist job openings:

What are the most commonly searched types of Research Data Scientist jobs?

The most popular types of Research Data Scientist jobs are:

What states have the most Afternoon Research Data Scientist jobs?

States with the most job openings for Afternoon Research Data Scientist jobs include:

Research Data Scientist

Swayable

San Francisco, CA • On-site

Full-time

Re-posted yesterday


Job description

Job Summary:
Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. As a Research Data Scientist, you will conduct data science research, develop tools for insights in experimental data, and communicate findings to support major organizations.
Responsibilities:
• Conduct data science research to push our experimental methodologies to the bleeding edge of social science
• Develop robust tools to uncover insights in experimental data
• Prototype data science improvements to core platform features
• Communicate the results of data science investigations to both internal and external stakeholders
Qualifications:
Required:
• Fluency in the python data science stack
• Expertise in statistical, analytical, and data science methods
• Excellent communication and data visualization skills
• Ability to work independently, prioritizing multiple important tasks/deadlines
• A keen eye for the 20% of effort that delivers 80% of the results
• Being a flexible team player whose values align with ours
Preferred:
• Experience writing and reviewing production-quality python code.
• Experience working in a fast-moving startup environment
• Experience interacting with MongoDB databases
• Bachelors/Masters/PhD in data science, statistics, physics, mathematics, bioinformatics, computer science, or a related quantitative field.
Company:
Swayable is a creative testing platform that measures persuasion. Founded in 2017, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.