Senior Data Scientist - Remote First

Our client, a leading innovator in the FMCG sector, is seeking an exceptional Senior Data Scientist to join their fully remote team. This is a remote-first opportunity, allowing you to contribute your expertise from anywhere in the US. You will play a critical role in leveraging vast datasets to uncover actionable insights, drive strategic decision-making, and optimize business processes across our client's diverse product lines. Your work will directly impact product development, marketing campaigns, supply chain efficiency, and consumer engagement.

As a Senior Data Scientist, you will be responsible for designing, developing, and implementing sophisticated statistical models, machine learning algorithms, and predictive analytics solutions. You will collaborate closely with cross-functional teams, including marketing, product development, and operations, to translate complex business problems into data-driven solutions. This role requires a deep understanding of data mining techniques, statistical modeling, and machine learning principles. Proficiency in programming languages such as Python or R, and experience with big data technologies (e.g., Spark, Hadoop) are essential. You will be expected to clean, transform, and analyze large, complex datasets, identify trends, and communicate findings clearly and concisely to both technical and non-technical stakeholders. The ideal candidate will have a strong analytical mindset, exceptional problem-solving skills, and a passion for uncovering the story within the data. This is an excellent opportunity to work on challenging problems within a dynamic and collaborative environment, with the flexibility and autonomy that a remote-first setting provides. We are looking for individuals who are proactive, self-driven, and possess excellent communication skills to thrive in a virtual team.

Key Responsibilities:

• Develop and deploy advanced analytical models and machine learning algorithms.
• Analyze large, complex datasets to identify key trends and insights.
• Collaborate with business stakeholders to define analytical requirements and deliver solutions.
• Design and implement A/B testing frameworks and analyze results.
• Build data visualizations and dashboards to communicate findings effectively.
• Stay current with the latest advancements in data science and machine learning.
• Mentor junior data scientists and contribute to the team's knowledge sharing.

Qualifications:

• Master's or Ph.D. in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
• 5+ years of relevant experience in data science or a related analytical role.
• Strong proficiency in Python or R, and SQL.
• Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop).
• Excellent understanding of statistical modeling, data mining, and machine learning techniques.
• Proven ability to communicate complex findings to diverse audiences.
• Experience in the FMCG sector is a plus.