Data Scientist

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