Senior Data Science Consultant

2 weeks ago

Sydney, New South Wales, Australia Bebeedatascience Full time

Unlock Data Science Potential
We're seeking a Senior Consultant with expertise in data science to join our team.
Job Description
As a Senior Consultant, you will design, build, and deploy advanced analytical and machine learning solutions that deliver tangible value across various industries. You will work closely with data engineers, analysts, and domain experts to ensure scalable, production-ready outcomes.
Key Responsibilities:
Develop, test, and deploy predictive and prescriptive models using structured and unstructured data.
Translate business challenges into data science problems and actionable solutions.
Design robust experiments (e.g., A/B testing, uplift modeling, causal inference).
Apply statistical and machine learning techniques to unlock insights and automation.
Create clear and compelling visualizations and communications to present findings.
Work closely with data engineers, analysts, and domain experts to ensure scalable, production-ready outcomes.
Contribute to client engagements including stakeholder workshops, delivery planning, and documentation.
Support capability uplift through mentoring and knowledge-sharing.
Core Experience and Skills
To succeed in this role, you must have:
2-5 years of experience in applied data science or analytics.
Proficiency in Python and its data science ecosystem (e.g., pandas, scikit-learn, statsmodels, XGBoost).
Strong grasp of statistical inference, experimental design, and/or machine learning.
Experience using Databricks, Jupyter Notebooks, or equivalent collaborative environments.
Demonstrated ability to work with cloud platforms (AWS, Azure, or GCP), ideally AWS or Azure.
Skilled in writing efficient SQL for data exploration and modeling.
Familiarity with version control, reproducibility, and basic MLOps principles.
Proven experience developing data science domain strategies, frameworks, or strategic roadmaps.
Ability to explain technical concepts to both technical and non-technical audiences.
Desired Skills and Experience
You will stand out from the crowd if you also bring:
Experience deploying ML models using MLflow, SageMaker, or Azure ML.
Exposure to natural language processing, time series, or geospatial analytics.
Familiarity with BI or visualization tools (e.g., Power BI, Tableau, Plotly).
Knowledge of CI/CD for model pipelines and containerization (Docker, GitHub Actions).
Prior consulting or advisory experience with external clients.
Understanding of data privacy, ethical AI, and responsible ML principles.
Comfortable supporting workshops or strategic discussions with senior executives or cross-functional teams.
Relevant certifications in AWS, Azure, or Databricks.
Ability to obtain Government Security Clearance.
Why Join Us?
Our Data & AI team is driven by purpose and powered by people. Here, you'll tackle complex, real-world challenges with modern tools and public-purpose data alongside talented and driven colleagues to deliver outcomes that genuinely matter.
Benefits
Enjoy industry-leading leave options, including:
26 weeks paid parental leave for either caregiver.
4 weeks of annual leave, with an additional fifth week of paid leave to use across our annual summer shutdown period.
Birthday leave, First Nations Cultural Leave, Floating Public Holidays.
Purchased leave, study leave, volunteering leave, and more.
Short and long-term performance-based incentive schemes, including employee share options.
Annual reimbursement for smart devices, wellness expenses, and lifestyle perks.
Access to Sonder, a digital care platform available to you and your family.

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