About Job

The Scoring role at DD test is a critical position that requires strong analytical and leadership skills. As a Scoring professional, you will be responsible for evaluating and scoring various aspects of our business operations, providing actionable insights that drive growth and improvement. This role is ideal for individuals who are passionate about data analysis, problem-solving, and continuous learning.

Your primary focus will be on developing and implementing scoring models, collaborating with cross-functional teams to integrate your findings into our business strategy, and driving process improvements that enhance our overall performance. If you are a detail-oriented professional with excellent communication skills and a passion for driving business outcomes, we encourage you to apply for this exciting opportunity.

Skills & Qualification

• Strong understanding of statistical modeling and analytical techniques

• Proficiency in programming languages such as Python, R, or SQL

• Experience with data visualization tools like Tableau, Power BI, or D3.js

• Excellent data interpretation and communication skills

• Ability to work in a fast-paced environment and meet tight deadlines

• Strong leadership skills, with experience in leading project teams or mentoring junior analysts

• Certifications in data science or analytics, such as Certified Data Scientist (CDS) or Certified Analytics Professional (CAP)

Responsibilities

• Develop and implement scoring models that accurately predict business outcomes, such as customer churn or response rates

• Collaborate with cross-functional teams, including marketing, sales, and product, to integrate scoring insights into business strategy and drive process improvements

• Analyze large datasets to identify trends, patterns, and correlations that inform business decisions

• Communicate complex analytical findings to non-technical stakeholders, ensuring that recommendations are actionable and data-driven

• Lead project teams or mentor junior analysts to develop and implement scoring models, ensuring that projects are completed on time and within budget

• Stay up-to-date with industry trends and emerging technologies in data science and analytics, applying new knowledge and techniques to drive business growth and improvement

• Develop and maintain relationships with key stakeholders, including business leaders, product owners, and other analytics professionals

• Continuously monitor and evaluate the effectiveness of scoring models and make recommendations for improvement