Senior Pricing Data Scientist

JOB SUMMARY

The Pricing Data Scientist will be responsible for leveraging advanced data management skills, data science, analytics, and machine learning techniques to develop and optimize pricing strategies that maximize profitability, improve market competitiveness, and align with business objectives.

The ideal candidate will have a strong background in data preparation and statistical modeling, economics, or pricing optimization, and be able to communicate actionable business recommendations to non-technical stakeholders in the form of.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Pricing Strategy and Optimization:

Design and implement data-driven pricing strategies that align with the company's revenue and profit goals, taking into account market conditions, customer behavior, and competitor pricing. Build an in-house price optimization engine applying machine learning and optimization techniques to determine optimal pricing and discounting strategies for products and services.

• Data Analysis & Insights:

Analyze large (sometimes messy and incomplete) datasets, including sales, customer, and market data, to uncover insights and trends that can inform pricing decisions. Build and maintain pricing models to forecast demand elasticity, optimize price points, and identify opportunities for margin improvement.

• Competitive Intelligence:

Monitor competitor pricing, market trends, and industry benchmarks to inform pricing models and strategy. Provide recommendations based on competitive analysis and customer segmentation.

• Collaboration:

Work closely with cross-functional teams such as Marketing, Product, and Finance to ensure pricing strategies are aligned with overall business objectives and market positioning.

• Reporting & Presentation:

Prepare and present pricing analysis, insights, and recommendations to senior management and key stakeholders, ensuring that data-driven decisions are easily understood and actionable.

• Continuous Improvement:

Stay current with developments in data science, machine learning, and pricing methodologies. Continuously assess the performance of pricing strategies and iterate based on feedback and market conditions.

QUALIFICATIONS

• 1+ years of professional experience in analytics, pricing science, revenue management, or a similar analytical role.

• Proven experience with analyzing and preparing large datasets.

• Familiarity with machine learning, regression models, and statistical analysis.

KNOWLEDGE & SKILLS REQUIRED

• Strong proficiency in data analysis tools and languages (e.g., SQL, Python, R, Excel, Power BI, Git, etc.).

• Solid understanding of pricing strategies, elasticity, segmentation, and competitive analysis.

• Ability to interpret complex data and translate it into actionable pricing recommendations.

• Strong problem-solving skills and a creative, data-driven mindset.

• Excellent communication and presentation skills, with the ability to explain technical findings to non-technical stakeholders.

EDUCATION & EXPERIENCE

• Bachelor’s degree in Economics, Statistics, Data Science, Business Intelligence, or a related field (Master's or Ph.D. is a plus).

PHYSICAL DEMANDS

• Continuous sitting and typing for extended periods.

• Occasional, reaching/working overhead, climbing or balancing, stooping, kneeling, crouching or crawling

• Lifting requirements include occasional lifting of up to 25 pounds

EMPLOYEE EVALUATION SUMMARY

· Introductory Review -- Will be written at approximately 80 days after employment and will be used to determine whether employment will continue

· Quarterly Reviews – Employee will be given a brief written quarterly review primarily focused on quantitative performance and measurement of activity.

· Annual Reviews – Quarterly reviews will factor in as a big part of this process along with attendance, job knowledge, overall performance and dependability.

WORK SCHEDULE

Work hours are from 8:00 am to 5:00 pm, Monday through Friday. This is a minimum expectation. Often projects and assignments may extend beyond the normal workday based on department/company needs, deadlines, and workload. Come to work on time and adhere to accepted time off policies.

Hybrid work schedule.

WORK ENVIRONMENT

Dress attire is casual but professional in an office setting. All employees are required to wear “Radwear” (shirt with company logo) at all times once the initial supply (at company expense) has been received. Radwell ID Badge and Access card must be worn at all times. Radwell Safety Policies must be adhered to at all times.

EMPLOYER'S RIGHTS

This job description does not list all the duties of the job. You may be asked by supervisors or managers to perform other duties. You will be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason.