Job Summary
We’re seeking a highly analytical and technically skilled Data Scientist to join our Data Science & Machine Learning team. In this role, you’ll develop models, conduct experiments, and deliver data-driven insights that inform product, strategy, and business decisions. You’ll collaborate with cross-functional teams and work on a variety of domains—from experimentation and forecasting to machine learning systems at scale.
This position is ideal for those passionate about unlocking the value of data, with opportunities to grow from hands-on modeling to strategic leadership and AI/ML vision-setting.
What You’ll Do
- Analyze structured and unstructured data to extract actionable insights.
- Design, build, and validate statistical and machine learning models.
- Conduct experiments (A/B tests, causal inference, etc.) and interpret results.
- Collaborate with engineering, analytics, and product to build data-driven solutions.
- Translate business challenges into data science questions and measurable impact.
- Deploy, monitor, and iterate on models in production environments.
- Develop tools, frameworks, and reusable assets to scale data science impact.
Experience Levels Accepted
We are hiring across all experience levels, from Intern to Head of Data Science:
| Seniority Level | Years of Experience | Expected Focus & Contribution |
| Intern | 0–1 years | Support exploratory analysis and basic modeling while learning best practices. |
| Junior | 1–3 years | Build and validate models, contribute to experiments, and collaborate with guidance. |
| Mid-Level | 2–5 years | Own projects, run experiments, and deploy models with moderate complexity. |
| Senior | 4–7 years | Lead key initiatives, build scalable ML solutions, and mentor peers. |
| Lead | 7–10 years | Architect systems, set standards, and drive alignment across teams and functions. |
| Staff | 10–15 years | Define vision, lead critical projects, and act as thought leader in applied ML and DS strategy. |
| Head of Data Science | 15+ years | Define org vision, structure, and long-term ML strategy aligned with business and product goals. |
Note: Final title, compensation, and scope of responsibilities will be aligned with the candidate’s experience level and capabilities.
Tools & Technologies
- Python, R
- Jupyter, VSCode
- Pandas, NumPy, SciPy
- Scikit-learn, XGBoost, LightGBM
- TensorFlow, PyTorch
- MLflow, Weights & Biases
- SQL, BigQuery, Snowflake
- Docker, Git
At Analytics 4 Retail, we are committed to building a diverse and inclusive workplace. We welcome applicants of all backgrounds and experiences, regardless of age, gender identity, sexual orientation, race, ethnicity, religion, disability status, or veteran status. We believe diverse perspectives drive innovation and better decision-making. We also value your privacy — all applications are treated with strict confidentiality and will be used solely for recruitment purposes in accordance with applicable data protection laws.
If you prefer not to fill out the online form or encounter any issues, you can also apply by sending your resume directly to careers@analytics4retail.com.
To apply for this job email your details to maurycortess.mc@gmail.com