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Scientist Python Jobs in Avon, IN (NOW HIRING)

Turing IT Labs

GIS Coordinator

Indianapolis, IN · On-site

... Python, ArcPy, and other data science packages including web automation and scraping capabilities Work with JavaScript and ArcGIS JavaScript API Knowledge of SQL within Oracle and SQL Server ...

trane technologies

Senior Software Engineer

Noblesville, IN · On-site

$115K - $151K/yr

Python Development * Develop Python-based backend services for industrial automation and test ... Bachelor's Degree (BS) in Computer Science, Software Engineering, or related technical discipline ...

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All JobsScientist Python JobsScientist Python Jobs in Avon, IN

Scientist Python information

See Avon, IN salary details

$36K

$117.7K

$188.5K

How much do scientist python jobs pay per year?

As of Jul 21, 2026, the average yearly pay for scientist python in Avon, IN is $117,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $130,400.00 per year, depending on experience, location, and employer.

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

What are the key skills and qualifications needed to thrive as a Scientist Python, and why are they important?

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

What is the difference between Scientist Python vs Data Analyst Python?

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What are popular job titles related to Scientist Python jobs in Avon, IN? For Scientist Python jobs in Avon, IN, the most frequently searched job titles are:
What job categories do people searching Scientist Python jobs in Avon, IN look for? The top searched job categories for Scientist Python jobs in Avon, IN are:
What cities near Avon, IN are hiring for Scientist Python jobs? Cities near Avon, IN with the most Scientist Python job openings:
Scientist Python jobs near you
Infographic showing various Scientist Python job openings in Avon, IN as of July 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $117,711 per year, or $56.6 per hour.
Global Incentive Compensation Analyst

Global Incentive Compensation Analyst

Salesforce, Inc.

Indianapolis, IN

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 14 days ago

Salesforce rating

8.0

Company rating: 8.0 out of 10

Based on 57 frontline employees who took The Breakroom Quiz

105th of 209 rated software companies

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Finance

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Job Description
About Salesforce:
We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we
empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good- you've come to the right place.
Position Description
The Global Incentive Compensation (GIC) team at Salesforce is a global leader for sales compensation in the technology industry. We manage the sales compensation for all Salesforce, end-to-end - from designing the sales compensation plan to enable the company's go-to-market strategy to administering the payment so that our sales teams get paid on time. We are currently hiring for an Senior Data Analyst, Global Incentive Compensation Analytics. This highly technical role will focus on generating deeper insights through sophisticated analysis and scientific modeling. You will support strategic compensation plan design decisions through data-driven recommendations, leveraging advanced statistical methods to assess the effectiveness of our existing programs. You will partner closely with stakeholders across the business to determine how best to align our plans with Salesforce's strategic direction. The ideal candidate is comfortable working in a dynamic, data-driven environment, demonstrates natural curiosity, and is capable of building models that influence decision-makers.
Responsibilities:
  • Advanced Modeling & Simulation: Build and deploy scientific and predictive models using Python to simulate the financial and behavioral impacts of proposed compensation plan changes, providing analytics and data-backed business cases during the annual company GTM planning cycle.
  • Deep-Dive Analytics: Go beyond standard reporting to uncover hidden trends, performing sophisticated statistical analyses to evaluate the true effectiveness and ROI of various Incentive Compensation programs.
  • Data Pipeline & Automation: Extract, manipulate, and transform large datasets using advanced SQL and Python to automate deep insight generation, moving away from manual Excel-based processes.
  • Strategic Partnership: Serve as the dedicated technical analytics partner for aligned GTM organizations, translating complex scientific models into actionable business recommendations to evaluate the impact of compensation plan changes. Forecasting: Track commission costs by developing robust predictive algorithms that forecast future GTM performance and commission payouts.
  • Pay-for-Performance Framework:
    against quota attainment, utilizing advanced data modeling to optimize commission multipliers and strategically alignDesign and build a comprehensive framework to evaluate current payout rates
  • compensation structures across various roles and performance tiers.
  • Qualifications
  • Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related highly quantitative field.
  • Experience: 3+ years of related experience in Data Science, Advanced Analytics, or highly technical quantitative analysis.
  • Advanced Programming: Proficiency in Python (or R) for data manipulation, statistical analysis, and building scientific models.
  • SQL/Snowflake: Advanced proficiency in SQL/Snowflake, including complex query authoring, optimization, and troubleshooting.
  • Data Visualization: Proficiency in building sophisticated, automated dashboards in Tableau or a similar tool.
  • Analytical Problem Solving: Ability to independently address complex analytical requests: understand the ask, structure the data pipeline, perform advanced statistical analyses, validate assumptions, and output reliable scientific models.
  • Communication & Storytelling: Ability to synthesize complex data and scientific methodologies into simple, consumable deliverables with clear takeaways, influencing decision making and justifying recommendations across diverse audiences.
  • Industry Knowledge: A general understanding of how a SaaS GTM engine functions is preferred.
  • CRM: Knowledge of Salesforce products and/or CRM infrastructure preferred

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

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