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Remote Data Science Jobs in Riverside, MO (NOW HIRING)

Alumis

Medical Science Liaison

Kansas City, MO · On-site +1

$19K/yr

... of data * Attend and report on assigned medical conferences * Collaborate with KOLs on medical ... Experience in a start-up environment is a plus This position is primarily remote. The salary range ...

micro1 AI

Cheminformatics Specialist - Remote

Olathe, KS · On-site +1

$90 - $120/hr

Remote micro1 is engaging Computational Biology Experts to contribute their advanced scientific ... Evaluate scientific content for accuracy, relevance, and clarity, ensuring data aligns with ...

WellSky

Staff Data Engineer

Overland Park, KS · On-site +1

The scope of this job includes collaborating with data scientists, analysts, solutions partners, and other stakeholders to increase data quality, accessibility, and security. We invite you to apply ...

Actalent

Wetland Scientist

Leawood, KS · On-site +1

$73K - $95K/yr

Prepare, organize, and manage data, reports, and tables for submission to clients and regulatory ... Bachelor's degree in environmental science, ecology, botany, soil science, or a related field. * 5 ...

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Showing results 21-40

All JobsData Science JobsRemote Data Science JobsRemote Data Science Jobs in Riverside, MO

Remote Data Science information

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

What are the qualifications to get a remote data science job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive as a remote data scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

Can I work remotely as a data scientist?

Yes, many data scientist roles are available as remote positions, especially in companies that prioritize flexible work arrangements. Remote data scientists typically need strong skills in programming, data analysis, and tools like Python or R, and may require familiarity with cloud platforms and collaboration tools. Availability depends on the employer's policies and the specific job requirements.
More about Remote Data Science jobs

What are the most commonly searched types of Data Science jobs in Riverside, MO?

The most popular types of Data Science jobs in Riverside, MO are:

What cities near Riverside, MO are hiring for Remote Data Science jobs?

Cities near Riverside, MO with the most Remote Data Science job openings:

Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Riverside, MO as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Deal Desk Analyst | Remote, USA

Optiv Security, Inc.

Overland Park, KS • On-site, Remote

Full-time

Posted 9 days ago

Job description

This role is fully remote and can be hired anywhere within the continental U.S.
The Deal Desk Analyst supports pricing strategy, deal analysis, margin optimization, and commercial decision-making within Optiv's security technology business. This role is heavily focused on pricing analytics, financial modeling, benchmarking, and data-driven recommendations that help improve profitability while supporting revenue growth objectives.
Working closely with Sales, Client Operations Specialists (COS), Finance, and business leadership, the Deal Desk Analyst evaluates complex deal scenarios, identifies pricing and margin opportunities, assesses commercial risk, and develops recommendations that support both customer and company objectives.
The ideal candidate is highly analytical, intellectually curious, and comfortable operating in ambiguous situations. They possess strong independent critical thinking and problem-solving skills, with the ability to move beyond standard analysis, challenge assumptions, connect data points, and develop creative, actionable recommendations. This individual must be capable of using data to tell a story, influence decision-making, and provide practical guidance in a fast-paced, highly dynamic sales environment.
How you'll make an impact
  • Serve as a trusted advisor to Sales and COS teams by providing counsel on deal strategy, pricing recommendations, margin optimization, and commercial negotiations for large, complex, and financially sensitive transactions.
  • Analyze sales opportunities to identify risks, pricing pressure, margin improvement opportunities, and alternative solution configurations that optimize commercial outcomes.
  • Develop and leverage pricing models, benchmark analyses, and business insights to support data-driven pricing recommendations.
  • Apply independent judgment and critical thinking to evaluate unique deal scenarios, challenge assumptions, and recommend creative solutions that balance profitability, competitiveness, customer expectations, and long-term account value.
  • Partner cross-functionally with Sales, COS, Finance, Vendor Management, and leadership teams to understand business objectives and develop pricing strategies that support growth and margin goals.
  • Analyze historical transaction data, customer purchasing patterns, vendor pricing, and market benchmarks to identify actionable insights and improve pricing decisions.
  • Support reporting and analysis related to strategic pricing investments, margin exceptions, and approved low-margin opportunities to improve visibility and accountability.
  • Participate in initiatives focused on process improvement, pricing optimization, reporting enhancements, automation, and operational efficiency.
  • Identify opportunities for continuous improvement and collaborate with stakeholders to implement practical, scalable solutions.

What we're looking for
  • Strong analytical, critical thinking, and problem-solving skills with the ability to independently evaluate complex business situations and make sound recommendations.
  • Medium to advanced Excel skills, including experience working with large datasets, formulas, pivot tables, lookups, and financial analysis.
  • Experience analyzing dynamic pricing environments or complex commercial scenarios involving competing priorities and unique circumstances.
  • Ability to synthesize large volumes of data into clear, concise, and actionable recommendations for business stakeholders.
  • Strong business acumen with an understanding of deal economics, customer behavior, competitive dynamics, and the long-term impact of pricing decisions.
  • Ability to challenge assumptions, ask thoughtful questions, and identify opportunities that may not be immediately apparent.
  • Strong communication and interpersonal skills with the ability to influence stakeholders and effectively explain recommendations.
  • Ability to manage multiple priorities and perform effectively in a fast-paced, deadline-driven environment.
  • Knowledge of pricing strategy, margin management, discounting practices, and the financial impact of commercial decisions.

Preferred Qualifications
  • Bachelor's degree in Finance, Business, Economics, Data Analytics, Data Science, Mathematics, or a related field
  • 2+ years of experience in pricing strategy, Deal Desk, financial analysis, FP&A, data analytics, consulting, client services, sales operations, or related business functions
  • Experience with Salesforce or other CRM platforms.
  • Experience with Power BI, Tableau, SQL, Python, or other reporting and analytics tools.
  • Experience developing pricing models, financial models, dashboards, or executive-level reporting.
  • Experience supporting sales organizations or working in customer-facing commercial environments.
  • Experience within technology, cybersecurity, software, SaaS, services, or channel/reseller businesses.

What you can expect from Optiv
  • A company committed to our inclusive value through our Employee Resource Groups
  • Work/life balance
  • Professional training resources
  • Creative problem-solving and the ability to tackle unique, complex projects
  • Volunteer Opportunities. "Optiv Chips In" encourages employees to volunteer and engage with their teams and communities.
  • The ability and technology necessary to productively work remotely/from home (where applicable)

EEO Statement
Optiv is an equal opportunity employer. All qualified applicants for employment will be considered without regard to race, color, religion, sex, gender identity or expression, sexual orientation, pregnancy, age 40 and over, marital status, genetic information, national origin, status as an individual with a disability, military or veteran status, or any other basis protected by federal, state, or local law.
Optiv respects your privacy. By providing your information through this page or applying for a job at Optiv, you acknowledge that Optiv will collect, use, and process your information, which may include personal information and sensitive personal information, in connection with Optiv's selection and recruitment activities. For additional details on how Optiv uses and protects your personal information in the application process, click here to view our Applicant Privacy Notice. If you sign up to receive notifications of job postings, you may unsubscribe at any time.

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