Data Scientist | Pricing

About the Role:

As a Data Scientist, Pricing, you will be pivotal in transforming large datasets into actionable analytics and optimizing the company's pricing guidance platform. Your primary goal is to drive annual margin improvements. You will collaborate with Business Development Category leaders and Sales and Services leaders to develop and implement the governance, policies, and processes for solution pricing to maximize business value, sales, and profitability.

Work Set up: Work-from-Home

Shift Schedule: 9 AM – 5 PM EST

Key Responsibilities:

1. Pricing Strategy & Analytics

• Develop and present robust commercial pricing models to senior leaders to drive decision-making.
• Maintain Pricing Segmentation model accuracy to boost Seller confidence, increasing margins and profits.
• Generate quantitative, actionable insights using advanced statistical and data analytics.
• Gather and standardize competitive intelligence to inform market benchmarking and competitive actions.
• Validate, enhance, and implement current pricing governance, policies, rules, and system processes (e.g., floors/ceilings, approvals).
• Forecast the business impact, profitability, and key metrics of pricing decisions and communicate expectations.
• Maintain market awareness to continually refine pricing strategies and models for competitive positioning.

2. Modeling & Optimization

• Solve complex problems using advanced mathematical modeling and optimization techniques, including big data pre-processing, feature engineering, algorithmic selection, hyperparameter tuning, and evaluation for ML.
• Contribute to all stages of data science projects, from raw data mining to translating complex technical solutions into business outcomes.

3. Data & ML Engineering

• Design and implement scalable machine learning systems and infrastructure.
• Optimize data pipelines for preprocessing, feature engineering, and model training.
• Collaborate with DevOps to ensure seamless integration of ML models into production.
• Maintain and enhance critical data models supporting business use cases.
• Stay current with latest advancements in ML, DevOps, and cloud technologies.

Job Requirements:

Experience & Education

• 5+ years of experience in pricing strategy and implementation.
• Post-secondary Degree or Diploma. An MBA is considered an asset.
• Must be proficient in building and deploying models, not just extracting insights.
• Experience working on larger deals/complex transactions.

Technical Proficiency

• Programming & ML: Proficiency in Python, R, SQL and experience with ML libraries and frameworks like Scikit-learn, NumPy, etc.
• Data Engineering: Experience engineering information out of massive, complex, and, in some cases, unstructured datasets.
• Visualization: Proficiency in one or more visualization tools like Tableau, Power BI, etc.

Core Competencies:

• Analytical Thinking: Strong problem-solving ability and analytical mindset.
• Communication: Excellent written, verbal, and interpersonal skills; able to communicate effectively at all organizational levels.
• Stakeholder Management: Proven ability to influence, collaborate, and align decisions with multiple key stakeholders across functional areas.
• Business Acumen: Ability to balance business sense with technical skills for effective project delivery, weighing complexity and speed.
• Work Style: Detail-oriented team player, capable of handling sensitive and confidential situations with diplomacy.

Benefits

WHAT WE OFFER:

✔ Great Place to Work-Certified Company

✔ Premium HMO

✔ Holistic employee experience

✔ Work-from-home and hybrid work setup

✔ Rewards and incentives

✔ Monthly engagement activities

✔ Career advancement opportunities

✔ Paid referral program