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At Wise Athena, we harness the power of AI to assist CPG (Consumer Packaged Goods) companies in predicting the right price with just one click. We've reimagined every element to develop a precise, affordable, and user-friendly tool that enables our clients to stay ahead of inflation and redefine the future of pricing for CPGs.
We are looking to expand our team in LATAM. You will be working with people distributed across México and Spain.
**Who are you?**
You are a self-reliant data scientist and a team player who will always speak your mind for us to succeed as a product team. You’re comfortable with difficult challenges that probably nobody has solved yet because we are constantly launching new features that require exploring new possibilities, hypotheses, and processes. You’re motivated by data-driven initiatives and work smart towards reaching business goals. You feel comfortable with constant change. Last but not least, you have a curious mind and are continuously searching for new knowledge.
**Skills**:
- Critical thinking and analytical skills.
- Strong organization and time management skills.
- Effective communication and presentation skills.
- Ability to work with internal teams.
- Confident in making informed decisions.
- Comfortable working in a startup / fast-paced environment.
**What You Need To Succeed**:
Minimum qualifications:
- Degree in computer science, mathematics, statistics, data science, a related field OR equivalent experience.
- 4+ years of work experience involving quantitative data analysis, experimentation and complex problem-solving. Experience working with product teams is strongly preferred.
- Strong knowledge of regression algorithms, metrics, and model evaluation applied to quantitative problems.
- Experience working with Python for data science: Numpy, pandas, sci-kit-learn, and related libraries.
- Experience with tabular machine learning libraries: xgboost, lightgbm, and similar.
- Working knowledge of data visualization libraries and tools.
- Working experience with Git.
- Strong problem-solving and communication skills, independent working style.
Preferred skills:
- Master's degree in data science, machine learning, and/or statistics.
- Working knowledge of R, or able to understand an R codebase and port features to Python.
- Experience building analytical products is strongly preferred.
- Able to work cross-functionally and influence business partners to set realistic goals and focus on data-driven solutions.
- Experience working with agile methodologies.
**What You’ll Do**:
- Conducts data analysis to get needed insights that drive product decisions.
- Designs, builds, and validates predictive models using machine learning to solve major challenges.
- Creates and refines algorithms to improve data processing, analysis, and model performance.
- Writes efficient code in languages such as Python, R, and **.
- Suggests innovative solutions and optimizes machine learning engines to support company goals.
- Evaluates existing models' performance and implements improvements to maintain accuracy and efficiency.
- Designs and conducts experiments to test hypotheses and measure the impact of changes in product features.
- Puts smart efforts to contribute to the overall success of the product.
- Uses data science tools and platforms for data analysis, model building, and deployment.
- Solves difficult issues and supports the team with product incidents. Suggests and implements potential fixes.
- Interacts cross-functional with Customer Success, Data Analysts, and Data Engineers.
- Communicates complex data insights to non-technical audiences. Translates findings into actionable product strategies.
- Documents needed resources, such as educational purposes or group presentations.
- Stays abreast of the latest advancements in data science, machine learning, AI, etc.
**What do we offer?**
- **Fully remote position.**:
- **Flexible schedule.**:
- Compensation in USD.
- **Unlimited Paid Time Off (PTO).**:
- We provide computer support.
- And more.
Tipo de puesto: Tiempo completo
Pregunta(s) de postulación:
- What is your monthly salary expectation? (USD)
- How many years of experience do you have in Data Science?
- Have you worked in a startup environment before?
- Do you have experience working with Product Teams?
- Have you ever worked in a fully remote position before? If yes, how many years?
