Lead Data Scientist - Customer Analytics

Role Overview: As the Lead Data Scientist in Customer Analytics, you will lead a team of data scientists in developing advanced analytical solutions to understand customer behavior and drive business growth. Your role involves defining the analytics roadmap, mentoring junior team members, and ensuring the delivery of high-quality, actionable insights. Your expertise will play a crucial role in shaping the company's customer-centric strategies. Key Responsibilities: - Lead a team of data scientists in developing customer analytics models and solutions. - Define the analytics roadmap and ensure alignment with business objectives. - Oversee data collection, processing, and analysis using various tools and techniques. - Develop advanced statistical models for customer segmentation, churn prediction, and marketing optimization. - Present findings and recommendations to stakeholders in a clear and actionable manner. - Mentor junior team members and provide technical guidance. - Stay up-to-date with the latest trends and technologies in customer analytics and data science. - Collaborate with cross-functional teams to implement analytical solutions. - Identify new opportunities to leverage data to improve customer experience and business performance. - Ensure data quality and compliance with data governance policies. Qualification Required: - Master's or Ph.D. degree in Statistics, Mathematics, Computer Science, or a related field. - 5 years of experience in data science and analytics, with a focus on customer analytics. - Proficiency in Python and R programming. - Experience with machine learning libraries such as scikit-learn, TensorFlow, or Keras. - Strong knowledge of statistical modeling techniques (e.g., regression, classification, clustering). - Experience with data visualization tools such as Tableau or Power BI. - Excellent communication and presentation skills. - Strong leadership and team management skills. - Experience with big data technologies such as Hadoop or Spark. - Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP). Additional Company Details: The company offers a competitive salary and benefits package, opportunities for professional development and training, a leadership role with significant impact on business strategy, a collaborative and innovative work environment, health insurance coverage for employees and dependents, paid time off for vacation, holidays, and sick leave, flexible work arrangements (where applicable), employee assistance programs for mental and emotional well-being, company-sponsored events and activities, and a retirement savings plan with employer matching. In a typical day, you will lead team meetings, review analytical models, present findings to stakeholders, mentor junior team members, research new analytical techniques, and identify opportunities to improve customer experience and business performance. Role Overview: As the Lead Data Scientist in Customer Analytics, you will lead a team of data scientists in developing advanced analytical solutions to understand customer behavior and drive business growth. Your role involves defining the analytics roadmap, mentoring junior team members, and ensuring the delivery of high-quality, actionable insights. Your expertise will play a crucial role in shaping the company's customer-centric strategies. Key Responsibilities: - Lead a team of data scientists in developing customer analytics models and solutions. - Define the analytics roadmap and ensure alignment with business objectives. - Oversee data collection, processing, and analysis using various tools and techniques. - Develop advanced statistical models for customer segmentation, churn prediction, and marketing optimization. - Present findings and recommendations to stakeholders in a clear and actionable manner. - Mentor junior team members and provide technical guidance. - Stay up-to-date with the latest trends and technologies in customer analytics and data science. - Collaborate with cross-functional teams to implement analytical solutions. - Identify new opportunities to leverage data to improve customer experience and business performance. - Ensure data quality and compliance with data governance policies. Qualification Required: - Master's or Ph.D. degree in Statistics, Mathematics, Computer Science, or a related field. - 5 years of experience in data science and analytics, with a focus on customer analytics. - Proficiency in Python and R programming. - Experience with machine learning libraries such as scikit-learn, TensorFlow, or Keras. - Strong knowledge of statistical modeling techniques (e.g., regression, classification, clustering). - Experience with data visualization tools such as Tableau or Power BI. - Excellent communication and presentation skills. - Strong leadership and team management skills. - Experience with big data technologies such as Hadoop or Spark. - Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP). Add