The Family Office is an independent wealth management firm offering customized investment solutions in alternative asset classes, including private equity, private debt, and real estate. Serving high-net-worth individuals and families, we provide tailored strategies to address unique financial needs with a focus on transparency, diversification, and long-term value. With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations.
We are looking for a highly skilled and motivated Data Scientist with a strong background in statistical analysis, machine learning, backend development, and cloud technologies. The ideal candidate will be passionate about transforming complex data into actionable insights that drive business decisions. In this role, the Data Scientist will collaborate closely with business partners to define technical problem statements, formulate hypotheses, and develop efficient, accurate analytical models that align with business objective.
1) Data Integration & Feature Engineering: Combine internal/external datasets to build reliable features for ML models.
2) Machine Learning & Statistical Analysis: Apply clustering, classification, and regression to solve business problems.
3) Data Visualization & Communication: Build dashboards and present insights to technical and non-technical teams.
4) Automation & Pipelines: Use Python/SQL to automate ETL processes and ensure scalable, high-quality data flows.
5) NLP & Unstructured Data: Apply NLP and LLMs to analyze text data and generate insights.
6) Model Deployment: Deploy ML models via Databricks and integrate with data pipelines.
7) Simulation & Distributed Computing: Use simulation and distributed tools to process large-scale data efficiently.
Requirements:
1) Bachelor’s degree or higher in Computer Science, Economics, Statistics, or related field. We also consider candidates from other disciplines, provided they have relevant certifications and proven experience in data science or related areas.
2) Python: Advanced proficiency in Python for machine learning, backend development, and creating scalable data pipelines.
3) Natural Language Processing (NLP): Expertise in applying NLP techniques to process, analyze, and extract meaningful insights from unstructured data.
4) Structured Query Language (SQL): Proficiency in SQL for querying and analyzing large datasets, particularly in cloud-based environments.
5) Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for deploying machine learning models and data-driven applications in scalable environments.
Skills & Attributes:
1) Strong problem-solving and critical thinking abilities with a keen attention to detail.
2) Excellent communication skills, capable of explaining complex technical concepts to non-technical stakeholders.
3) Collaborative team player, adept at working with engineering, data, and business teams to design and implement end-to-end solutions.
4) Passionate about building scalable, high-performance systems and open to adapting in fast-paced, Agile environments.
