Data Scientist

vor 12 Stunden

Sydney, Österreich Deputy Vollzeit

At Deputy, we empower businesses to build thriving workplaces - ones where staff are engaged, customers are served well, businesses are legally compliant, and companies' profits thrive.
Our reach extends across 100+ countries worldwide, serving more than 330,000 workplaces.
Deputy is a global SaaS workforce management company headquartered in Sydney, San Francisco, and London, backed by top investors and recently surpassed $100m in annual recurring revenue.
We've helped millions of workers across industries and aim to empower 80% of the global workforce.
If you're passionate about improving the world of work, one shift at a time, join us at Deputy and help shape the future of hourly employment
Here at Deputy, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
We are seeking a talented and passionate Data Scientist to join our growing team and play a crucial role in developing and optimizing our predictive models for churn, expansion, and contraction.
You will also contribute to data-driven marketing strategies to enhance customer acquisition and engagement.

Responsibilities - Develop and maintain predictive models: Utilize machine-learning techniques to build robust models that accurately predict customer churn, expansion (upgrades), and contraction (downgrades). Analyze large datasets of customer behavior, product usage, demographics, and financial transactions to identify key drivers for each outcome. Experiment with various modeling approaches (e.g., logistic regression, survival analysis, decision trees, deep learning) to optimize predictive performance for each model. Develop and implement strategies for feature engineering and selection to improve model accuracy. Analyse and interpret model results: Clearly communicate model insights and recommendations to stakeholders across different departments. Translate complex technical findings into actionable business strategies for customer retention, growth, and revenue optimization. Create visualizations and reports to effectively present data-driven insights. Collaborate with cross-functional teams: Work closely with product managers, engineers, and marketing teams to integrate predictive models into the product, marketing campaigns, and customer success initiatives. Contribute to the development of data-driven strategies for customer segmentation, personalized messaging, and targeted interventions. Contribute to marketing analytics: Analyse marketing campaign performance to identify key drivers of success and areas for optimization. Develop models to predict the effectiveness of marketing campaigns and optimize budget allocation. Segment customers based on their responses to marketing campaigns to personalize messaging and offers. Measure the ROI of marketing initiatives and provide data-driven recommendations for improvement. Continuously research and evaluate new machine-learning techniques and tools. Share knowledge and best practices with the data science team. Skills & Experience 5+ years experience as a Data Scientist and within a scaling organisation is a bonus. Strong analytical and problem-solving skills: Proven ability to apply statistical and machine-learning methods to solve real-world business problems. Proficiency in Python and relevant data science libraries: Experience with scikit-learn, pandas, NumPy, and other data manipulation and modeling tools. Experience with predictive modeling, ideally in a SaaS environment: Familiarity with different modeling techniques and metrics (e.g., AUC, precision, recall, F1-score). Knowledge of SQL and relational databases: Ability to extract and manipulate data from various data sources. Excellent communication and collaboration skills: Ability to effectively communicate technical concepts to both technical and non-technical audiences. Degree in Computer Science, Statistics, Mathematics or a related field. Experience with cloud computing platforms (e.g., Databricks, AWS, Azure, GCP) is a plus. Experience with big data technologies (e.g., Databricks, Spark, Hadoop) is a plus. Experience with marketing analytics tools and techniques is a plus. Employee Perks - Ownership in the company via Share Options
- Paternity/Maternity Leave Policies
- Flexible Remote-First Work Policy
- Company wide Development & Coaching
- Hackathons
- Awards - "Your Time to Shine & Celebrate Success"
- Social Events & variety of social clubs (Books, LGBT, Games, Sports)
- Mental Health Support
- Munch & Learns
Deputy believes in equal opportunity and that inclusiveness and diversity promotes innovation.
Our global team members are from a variety of cultures.
And we welcome different perspectives and skills.
#LI-Hybrid
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