Data Scientist - Predictive Modelling for Price Optimization and Portfolio Management

Position Overview:

We are seeking a highly skilled Data Scientist with a strong background in predictive modelling, specifically focused on price optimization and portfolio management. The ideal candidate will be proficient in leveraging advanced analytical techniques and technologies to drive data-driven decision-making and maximize profitability. You will be responsible for developing and implementing models that optimize pricing strategies and enhance portfolio performance.

Software Requirements:

• Proficiency in programming languages such as Python or R for data analysis and model development.
• Experience with SageMaker or H2O for building, training, and deploying machine learning models at scale.
• Familiarity with SQL for data extraction and manipulation.
• Experience using Tableau or similar tools for data visualization and reporting.

Overall Responsibilities:

• Experiment, develop, and implement predictive models to optimize pricing strategies and enhance portfolio management.
• Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
• Collaborate with cross-functional teams including marketing, finance, and operations to understand business requirements and deliver actionable insights.
• Utilize data visualization tools such as Tableau to communicate findings to stakeholders.
• Employ machine learning algorithms and statistical techniques for data analysis and model development.
• Conduct A/B testing and other experimental designs to validate model effectiveness and optimize strategies.
• Stay current with industry trends and advancements in data science and machine learning.

Category-wise Technical Skills:

• Programming Languages: Proficient in Python or R for data analysis and predictive modelling.
• Data Visualization: Experience with Tableau for creating insightful visual representations of data.
• Machine Learning: Familiarity with machine learning frameworks and tools such as SageMaker, H2O, and ML Ops workflows.
• Data Management: Strong SQL skills for effective data extraction and manipulation.
• Statistical Analysis: Understanding of statistical methodologies and concepts relevant to predictive modelling.

Experience:

• 6-8 years of experience in data science with a focus on predictive modelling for price optimization and portfolio management.
• Proven experience in analyzing large datasets and deriving actionable insights.
• Experience in working with machine learning models and understanding their application in business contexts.

Day-to-Day Activities:

• Analyze and prepare datasets for predictive modelling tasks.
• Develop and refine predictive models to optimize pricing strategies.
• Collaborate with stakeholders to gather requirements and ensure alignment with business goals.
• Present findings and insights to both technical and non-technical stakeholders through effective data visualization.
• Conduct experiments such as A/B testing to evaluate model performance and guide decision-making.
• Stay updated on the latest data science techniques and industry trends to continuously improve methodologies.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

Soft Skills:

• Strong analytical and problem-solving skills with the ability to interpret complex data.
• Excellent communication skills, with the ability to present findings to non-technical stakeholders.
• Ability to work collaboratively in a team environment and across various functions.
• Self-motivated, proactive, and able to manage multiple projects simultaneously.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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