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Résumé du poste
A dynamic services firm is seeking a Data Scientist to analyze complex datasets and provide actionable insights. The role includes developing machine learning models in a fully remote environment. Candidates should have at least 3 years of experience, proficiency in Python or R, and strong analytical skills. Preferred qualifications include experience with cloud platforms and big data tools.
Qualifications
- Minimum of 3 years of hands-on experience as a Data Scientist or Data Analyst.
- Proficient in programming languages such as Python or R.
- Experience with SQL and relational databases.
Responsabilités
- Apply advanced statistical analysis and machine learning techniques.
- Design, develop, and deploy predictive models.
- Create compelling visualizations for stakeholders.
Connaissances
Formation
Outils
Scalepex is a dynamic services firm specializing in providing nearshore solutions for premium brands like Nike, Pepsi, Toyota, Virgin, and Walgreens. Our mission is to connect prominent market leaders with top-tier professionals from around the world, fostering collaboration, efficiency, and growth.
As a Data Scientist at Scalepex, you will play a pivotal role in analyzing complex datasets to derive actionable insights that drive business decisions. You will collaborate with cross‑functional teams to develop and deploy machine learning models, ensuring data‑driven strategies align with client objectives in a fully remote environment.
- Data Analysis & Modeling: Apply advanced statistical analysis and machine learning techniques to extract insights from large, complex datasets.
- Model Development: Design, develop, and deploy predictive models, optimization systems, and other machine learning products.
- Data Visualization: Create compelling visualizations to communicate findings to both technical and non‑technical stakeholders.
- Collaboration: Work closely with data engineers and data architects to integrate models into production systems.
- Project Leadership: Lead end‑to‑end data science projects, ensuring alignment with business objectives and stakeholder requirements.
- Experience: Minimum of 3 years of hands‑on experience as a Data Scientist or Data Analyst.
- Technical Skills:
- Proficient in programming languages such as Python and/or R.
- Experience with SQL and relational databases.
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit‑learn).
- Experience with data visualization tools like Power BI or Tableau.
- Education: Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field. A Master's degree or advanced certification is preferred.
- Soft Skills:
- Strong problem‑solving and analytical skills.
- Excellent communication skills in English.
- Ability to work independently in a remote setting.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with big data processing tools like Spark or Hadoop.
- Knowledge of Natural Language Processing (NLP) techniques.
- Experience in deploying machine learning models using platforms like Databricks or MLflow.
- Contractor scheme.
- 100% remote.
* Le salaire de référence se base sur les salaires cibles des leaders du marché dans leurs secteurs correspondants. Il vise à servir de guide pour aider les membres Premium à évaluer les postes vacants et contribuer aux négociations salariales. Le salaire de référence n’est pas fourni directement par l’entreprise et peut pourrait être beaucoup plus élevé ou plus bas.