Job Summary

Startup Inno is seeking a highly analytical and innovative Data Scientist – Real-Time Pricing & Optimization to join our fast-growing data and product intelligence team. In this role, you will design, build, and deploy advanced machine learning models that power dynamic pricing strategies and real-time optimization systems across our digital platforms. You will work closely with product managers, engineers, and business stakeholders to transform large-scale data into actionable insights that directly impact revenue, customer experience, and market competitiveness.

This is an exciting opportunity for a data-driven professional who thrives in a high-growth, agile startup environment and wants to work on real-world problems involving streaming data, algorithmic decision-making, and large-scale optimization.

Key Responsibilities

• Develop and implement real-time pricing models using machine learning, statistical modeling, and optimization techniques.

• Design end-to-end data pipelines for ingesting, processing, and analyzing large volumes of structured and unstructured data.

• Build predictive and prescriptive models to optimize pricing, promotions, demand forecasting, and revenue management.

• Collaborate with software engineers to deploy models into production environments and ensure real-time performance.

• Conduct A/B testing and experimentation to evaluate pricing strategies and model effectiveness.

• Monitor model performance, retrain models, and continuously improve algorithms based on business feedback.

• Translate complex analytical results into clear insights and recommendations for non-technical stakeholders.

• Stay updated with the latest developments in data science, machine learning, and optimization techniques.

Required Skills and Qualifications

• Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.

• Strong proficiency in Python or R for data analysis and model development.

• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar.

• Solid understanding of statistical modeling, regression, classification, and time-series analysis.

• Experience working with SQL and NoSQL databases.

• Familiarity with big data tools and platforms (Spark, Hadoop, Kafka, etc.).

• Knowledge of real-time systems, APIs, and model deployment pipelines.

• Strong problem-solving skills with a business-oriented mindset.

Experience

• 2–5 years of professional experience in data science, machine learning, or advanced analytics roles.

• Proven experience in pricing analytics, revenue optimization, demand forecasting, or similar domains is highly preferred.

• Experience working in a startup or fast-paced technology environment is an advantage.

• Demonstrated track record of building and deploying data-driven models in production.

Working Hours

• Full-time position (40 hours per week).

• Flexible working hours with a hybrid or remote-first approach, depending on location and team needs.

• Occasional overlap with global teams may be required for collaboration and project alignment.

Knowledge, Skills, and Abilities

• Strong analytical thinking and quantitative reasoning skills.

• Ability to work independently and manage multiple projects simultaneously.

• Excellent communication skills, with the ability to explain complex concepts in simple terms.

• Strong business acumen and understanding of how data drives strategic decisions.

• High level of curiosity, creativity, and passion for solving complex problems.

• Adaptability and willingness to learn new tools, technologies, and methodologies.

Benefits

• Competitive salary and performance-based incentives.

• Flexible working arrangements (remote/hybrid options).

• Health and wellness benefits package.

• Continuous learning and professional development opportunities.

• Access to cutting-edge tools, technologies, and real-world datasets.

• A collaborative, inclusive, and innovation-driven work culture.

Why Join Startup Inno?

At Startup Inno, we believe data is at the core of innovation. You will be part of a forward-thinking team that values experimentation, creativity, and impact. This role offers a unique opportunity to influence business strategy through advanced analytics and real-time decision systems. You will gain hands-on experience with complex data problems while contributing directly to the growth and success of a dynamic startup.

How to Apply

Interested candidates should submit their updated resume along with a brief cover letter highlighting relevant experience in data science and optimization. Please include links to any GitHub repositories, portfolios, or published projects that demonstrate your technical expertise.