Senior Data Scientist at Strategic Systems International

Lahore, Punjab, Pakistan -

Full Time

Start Date

Immediate

Expiry Date

02 Apr, 26

Salary

0.0

Posted On

02 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Statistical Analysis, Big Data Technologies, Model Optimization, Python, SQL, Data Science Libraries, Statistical Modeling, Applied Analytics, Quantitative Modeling, Pricing Models, Revenue Models, Demand Models, Client Engagement, Model Interpretability, Documentation

Industry

Software Development

Description

PURPOSE: We are looking for an experienced Senior Data Scientist to join our dynamic team and drive strategic decision-making through advanced data-driven insights. The ideal candidate will have 10+ years of industry experience, a strong foundation in machine learning, statistical analysis, and big data technologies, and excellent English communication skills. You should bring a deep understanding of ML frameworks, model optimization techniques, and the ability to translate complex data into actionable intelligence across a range of real-world use cases. QUALIFICATIONS, SKILLS AND EXPERIENCE: 10+ years of experience in data science, applied analytics, or quantitative modeling roles Strong background in statistical modeling, optimization, and applied machine learning Proven experience working on pricing, revenue, demand, or related commercial models Ability to clearly explain complex analytical concepts to business and technical audiences Experience working closely with business analysts and senior client stakeholders Strong proficiency in Python, SQL, and common data science libraries and tools Master’s degree or PhD in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field PhD strongly preferred for candidates focused on advanced modeling or optimization KEY RESPONSIBILTIES: End-to-End Pricing Models: Own pricing and optimization models from problem definition and methodology selection through validation, deployment, and iteration. Model Strategy & Decision-Making: Define overall modeling strategy, select appropriate methodologies, and make informed trade-offs aligned with business objectives. Pricing Analytics Collaboration: Partner with Senior Data and Business Analysts to understand pricing logic, levers, assumptions, and operational constraints. Statistical & Analytical Modeling: Design, build, and validate statistical and analytical models that accurately represent pricing behavior. Business Rule Translation: Convert business pricing rules into scalable, explainable, and production-ready models. Client Engagement: Work directly with client teams to review assumptions, validate outputs, and present model results in a clear and business-aligned manner. Model Interpretability & Transparency: Ensure models are interpretable, transparent, and aligned with business intent and stakeholder expectations. Production Deployment: Collaborate with engineering teams to operationalize models and support smooth deployment into production environments. Documentation & Communication: Document model logic, assumptions, and limitations in a way that is accessible to non-technical stakeholders. Continuous Improvement: Iterate on models based on business feedback, monitoring results, and real-world performance. A Culture of Belonging: At our core, we value diversity and inclusion. As an equal opportunity employer, we are dedicated to creating a workplace where every voice is heard, every person is respected, and everyone has the opportunity to succeed.

Responsibilities

The Senior Data Scientist will own pricing and optimization models, defining overall modeling strategy and collaborating with analysts to understand pricing logic. They will also ensure models are interpretable and aligned with business objectives while supporting deployment into production environments.