Associate Director, Data Science Lead

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

In this role, you will:

Advance the data science vision and roadmap for the company

• Work with the team of data scientists deployed across businesses and with business partners to frame the ongoing data science agenda
• Champion the data science agenda with key business leaders and in key forums
• Assess and understand all key structured and unstructured data sources that would enable problem solving for business issues
• Enable initiatives delivering both tactical and strategic marketing insights, through design, execution and consulting
• Develop process and approaches to improve the effectiveness and visibility of data science

Identify and develop needed data science capabilities and best practices

• Monitor external data science trends, identify implications and proactively develop best-in-class processes and techniques to leverage data science across consumer touchpoints
• Evaluate and enhance existing data science tools/techniques and aid in the development of best practices
• Partner with IT, Data, Human Insights and Analytics teams to facilitate easy and effective access to data and computing resources
• Create a vibrant community of data science practitioners. Coach, develop, and recruit data science talent.

Identify and Implement key cross-business Data Science initiatives that include

• Identify opportunities for data to opportunistically inform decisions & optimization across business processes
• Building complex data sets from multiple data sources. Building learning systems to analyze and filter continuous data flows and offline data analysis & conduct advanced statistical analysis to determine trends and significant data relationships.
• Leverage data science tools and techniques to analyze large data sets and develop custom models/algorithms to uncover trends, patterns and insights in the data
• Leverage data visualization tools & techniques to deliver insights that drive business recommendations, innovative business solutions and enable real-time marketing and optimization
• Drive integration of data with traditional insights as appropriate to develop more holistic and complete recommendatio

What we look for:

Education & Experience

• BS or advanced degree in Computer Science, Statistics, Analytics, or related quantitative discipline. MS/PhD and specialization or coursework in data science/ML/AI preferred.
• 7+ years of experience in business-facing data analytics roles with BS degree; or 5+ years, with MS/PhD.
• 3+ years as an established leader of data science teams that successfully delivered data-driven solutions and insights
• Experience developing and evolving a data science roadmap, executing the vision behind it, and partnering with stakeholders to create business value from it.
• Track record of delivering analytics products and insights, and influencing product and engineering decisions.

Skills & Abilities

Business and soft skills

• Excellent communications skills. Ability to synthesize, simplify, and explain complex problems to different audiences across functions and levels. Ability to convey insight through storytelling.
• Self-starter comfortable with ambiguity. Able to identify needs, develop a plan of action, and implement. Excellent time and project management skills.
• Strong interpersonal, relationship building, and influence skills.
• Demonstrated ability to attract, hire, coach, and inspire talent.

Ability to provide technical leadership across a variety of capabilities and marketing applications

• Experience in a range of applications including marketing personalization, recommender systems, topic modeling / natural language processing for insights, anomaly detection.
• Experience applying Machine Learning and Deep Learning frameworks (TensorFLow, pyTorch, etc.)
• Experience developing data science pipelines in Python and R and deploying them to cloud environments
• Experience using visualization tools (Tableau, Power BI, etc.) to simplify insight discovery
• Working knowledge of big data ecosystems (Hadoop, Hive, MapReduce, etc.)
• Familiarity with marketing/sales related tools and providers (Salesforce, Neustar, Marketo, etc.)
• Ability to envision, design, and query structured relational databases (SQL, etc.)
• Knowledge of traditional statistical analysis and modeling
• Advanced capability in Excel

We seek out and celebrate diverse backgrounds and experiences, and we know you don’t need a degree to succeed. We’re looking for fresh perspectives, a desire to bring your best, and a non-stop drive to keep growing and learning.

At Clorox, we have a Culture of Inclusion. We believe our values-based culture connects to our purpose and helps our people be the best versions of themselves, professionally and personally. This means building a workplace where every person can feel respected, valued, and fully able to participate in our Clorox community. Learn more about our I&D program & initiatives here.

Benefits we offer to help you be well and thrive:

• Competitive compensation
• Generous 401(k) program in the US and similar programs in international
• Health benefits and programs that support both your physical and mental well-being
• Flexible work environment, depending on your role
• Meaningful opportunities to keep learning and growing
• Half-day Fridays, depending on your location