Senior Data Scientist

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Slack is hiring an experienced analytics leader for our Web Strategy marketing team. The Web Strategy team is a cross-functional team that strives to attract qualified traffic, generate new teams and leads, and help visitors understand how Slack can unlock their productivity potential. Our goal is to create a fantastic digital experience while encouraging conversion every step of the way!

You will measure, benchmark, and play a critical part in continuously optimizing critical user journeys including web traffic trends, keyword performance, and get insights into competitors' strategies. You will partner closely with business partners to promote end-to-end customer journeys across various experiences. You will help to make Slack’s marketing web experience outstanding by advocating for and implementing changes to processes, tools, and systems. You will have a keen eye for opportunities to standardize, build new areas of excellence within the team, and provide technical mentorship!

Responsibility

• Lead analytics and become Subject-Matter-Expert on digital marketing channels and map customer journeys of these segments across our website and platform and use these insights from acquired knowledge to influence channel optimizations.

• Apply various data science methods to analyze usage patterns of Foundation products.

• Conduct evidence-based evaluations of key drivers of feature adoption and user retention.

• Develop key success metrics for different stages of product life cycles to ensure timely measurement of product health and successes.

• Prototype foundational data pipelines and collaborate with the data engineering team to establish canonical sources of truth for Foundation metrics.

• Identify and effectively communicate opportunities to enhance core user experiences.

• Promote evidence-based decision-making by partnering with product decision-makers and facilitating broader access to data and insights.

• Assist with leading and improving processes for identity resolution, tagging, and other tracking parameters to gather meaningful data.

• Establish relationships and partner with cross-functional teams to improve existing analytics models, pipelines, and dashboards, build additional metrics, reports, and visualization based on evolving business needs, and support these teams in driving their goals.

• Identify and Apply business insight and analytics techniques on ambiguous business problems to unearth areas of opportunity and size potential impact.

• Own experimentation roadmap for search incrementality testing: identify and prioritize opportunities with marketing managers, write test charters, and recommendations.

• Collaborate cross-functionally with data science, data engineering, and instrumentation teams to contribute to sophisticated models data pipelines, and instrumentation, and build testing roadmap.

• Present your data analysis, insights, and recommendations to senior leadership for buy-in and alignment.

Qualifications

• 5+ years of experience in data science or engineering, with a preference for experience in settings with multiple consumer user types (e.g., marketplace, productivity tools).

• Proficiency in at least one programming language for data analysis (e.g., Python, R, Scala).

• Experience with data technologies for analyzing large datasets (e.g., Spark, Presto, Hive, Hadoop); familiarity with Apache Airflow is advantageous.

• A consistent track record of using data to drive marketing and product teams to achieve bold goals and influence company-level outcomes.

• Expert SQL and at least one general programming language (e.g. Python) and orchestration tools (e.g. Airflow) and performance marketing analytics with a focus on SEO and SEM optimizations.

• Experience with SEO analytics tools and familiarity with SEO strategy and keyword research.

• You have built frameworks, standards, and other tools to simplify and automate key data science.

• Experience with Statistics concepts and analysis, e.g., hypothesis testing, regression, experimental design, etc.

• Excellent communication and presentation skills with the ability to communicate sophisticated analytical recommendations and insights to leadership.

• Track record of collaborating with and influencing cross-functional partners.

• Experience in building advanced data pipelines and designing data schema and table infrastructure.

• Bonus: Experience with statistical and machine learning methods for building descriptive and predictive models.

• Advanced degree (MS, PhD) in a quantitative field (e.g., Computer Science, Economics, Physics, Mathematics) is a plus.

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