Key Responsibilities:

• Data Analysis & Insights:
• Analyze large datasets to identify trends, patterns, and correlations that can inform business decisions.
• Collaborate with business leaders to understand their goals and identify data-driven opportunities for improvement.
• Design and implement statistical analyses to extract actionable insights from complex data.
• Modeling & Machine Learning:
• Develop, test, and deploy predictive models using machine learning, deep learning, and statistical modeling techniques.
• Apply advanced algorithms and techniques such as regression, classification, clustering, and time-series forecasting to solve business problems.
• Ensure model accuracy, robustness, and scalability by optimizing algorithms and fine-tuning hyperparameters.
• Data Processing & Transformation:
• Prepare, clean, and preprocess data to ensure it is suitable for modeling and analysis.
• Work with large, unstructured datasets and utilize tools such as SQL, Python, or R to manipulate and analyze the data.
• Use data visualization tools to communicate complex findings in an easy-to-understand manner.
• Collaboration & Communication:
• Collaborate with business stakeholders to translate business needs into data science and modeling solutions.
• Present findings, insights, and recommendations to senior management and non-technical stakeholders.
• Provide guidance and mentorship to junior data scientists and analysts on best practices in modeling and analysis.
• Optimization & Continuous Improvement:
• Continuously monitor the performance of deployed models, ensuring they remain accurate and effective over time.
• Evaluate model performance and recommend improvements for optimization.
• Stay updated with the latest trends and advancements in data science, machine learning, and AI to ensure the organization remains at the forefront of technological innovation.
• Reporting & Documentation:
• Prepare clear and concise reports and documentation outlining modeling methodologies, results, and recommendations.
• Maintain detailed documentation of modeling processes, data sources, and code for reproducibility and transparency.

Required Skills & Qualifications:

• Education:
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. A Ph.D. is a plus.
• Technical Skills:
• Proficiency in programming languages such as Python, R, or similar.
• Strong experience with machine learning libraries (e.g., scikit-learn, TensorFlow, Keras).
• Expertise in data manipulation and analysis tools (e.g., SQL, pandas, NumPy).
• Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
• Understanding of statistical analysis methods and techniques (e.g., hypothesis testing, regression analysis).
• Experience:
• Proven experience (3+ years) in data science, machine learning, or statistical modeling in a business or research environment.
• Hands-on experience in building and deploying predictive models.
• Experience working with large datasets and cloud platforms (e.g., AWS, Google Cloud, Azure).
• Soft Skills:
• Strong analytical and problem-solving skills.
• Ability to explain complex technical concepts to non-technical stakeholders.
• Excellent communication and presentation skills.
• Strong attention to detail and a passion for continuous learning and improvement.

Desired Qualifications:

• Experience with deep learning and neural networks.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Familiarity with business intelligence tools and systems.
• Prior experience in specific industries (e.g., finance, healthcare, e-commerce) is a plus.

Benefits:

• [List of benefits: health insurance, retirement plan, paid time off, etc.]
• [Flexible working hours or remote work option, if applicable]
• [Professional development opportunities]

About company

Merkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle is a leading global data-driven, technology-enabled, and performance marketing agency. The company specializes in helping businesses optimize their customer experience and drive growth through data, analytics, and customer relationship management (CRM) strategies.