Provation is looking for an experienced hands-on data scientist to continue building the culture of innovation at Provation. The right candidate has active hands-on data science experience who can also articulate data insights and technical concepts to executive audiences. The Senior Data Scientist role requires the ability to develop innovative solutions, perform risk analysis, and be comfortable working in a rapid, fail-fast environment as well as provide a vision for future data science products and capabilities.

Duties & Responsibilities:

Drive execution and play a vital role in building a culture of innovation at Provation.
Grow organization-wide data science capabilities.
Build, manage, and inspire alongside a multi-functional team that solves our toughest growth obstacles.
Collaborate with cross-functional stakeholders and customers to understand their business needs, formulate and complete end-to-end review that include: data gathering, review, scaled deliverables, recommendations and presentations to stakeholders.
Contribute to a wide variety of technical projects using natural language processing, statistical analysis, machine-learning, and other forms of analytical modeling.
Effectively manage stakeholder expectations, ensuring alignment with project objectives.
Coordinate project timelines, milestones, and deliverables to ensure efficient progress and successful outcomes.
Translate data science model impacts, insights, and methodologies into accessible language for non-technical team members.
Foster a culture of understanding and appreciation for data-driven decision-making across the organization.
Other duties and projects as assigned.

Job Requirements:

Hold a bachelor’s degree (or its equivalent) in computer-science/information-theory/language-technologies or a related field is required, and a Master or PhD is preferred.
8+ years of related experience.

Preferred Qualifications:

Proven track record of success in applying data science techniques to real-world business problems.
Expertise in programming languages such as Python, R, or SQL, and familiarity with data manipulation and visualization libraries (e.g., pandas, matplotlib, seaborn).
Strong knowledge of machine learning algorithms, deep learning techniques, and statistical modeling.
Experience with big data technologies and platforms (e.g., Hadoop, Spark) and cloud computing services (e.g., Azure, AWS, GCP).
Excellent analytical and problem-solving skills, with the ability to think critically and creatively to solve complex problems.
Effective communication and collaboration skills, with the ability to present technical concepts to non-technical stakeholders.
Proven leadership experience, with the ability to lead and mentor a team of data scientists.
Demonstrated experience in stakeholder management, project coordination, and communication within a data science or related technical environment.
Proficiency in conveying complex technical concepts to diverse audiences.
Strong organizational skills and attention to detail.
Ability to thrive in a dynamic, collaborative team environment.

Other Knowledge, Skills, Abilities or Certifications:

Lead end-to-end data science projects, from problem definition and data collection to model development and deployment.
Design and develop machine learning models and algorithms to analyze large, complex datasets and extract meaningful insights.
Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions.
Explore and implement advanced statistical techniques to uncover trends, patterns, and correlations in data.
Develop predictive models and forecasting algorithms to support decision-making and drive business growth.
Evaluate model performance and make recommendations for model improvements and optimizations.
Stay updated on the latest developments in data science, machine learning, and AI technologies, and identify opportunities for innovation and improvement.
Provide technical guidance and support as needed.

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