Staff Data Scientist

What you will do:

Lead and manage end-to-end data science projects, including project planning, scoping, budgeting, resource allocation, and timeline management. Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to define project requirements, deliverables, and milestones.

Conduct project kick-off meetings, define project objectives, and establish clear project scopes and deliverables.

Develop and maintain project plans, track progress, and provide regular updates to stakeholders, ensuring project milestones are met within the defined timeline.

Identify and manage project risks, issues, and dependencies, implementing mitigation strategies and contingency plans as necessary.

Coordinate and communicate project activities, ensuring alignment with organizational goals and objectives.

Monitor project budget, resource utilization, and expenses, making necessary adjustments to optimize project performance and efficiency.

Foster a collaborative and innovative work environment, promoting knowledge sharing and best practices within the data science team.

Stay updated with industry trends, emerging technologies, and advancements in data science methodologies, and propose relevant process improvements or tool adoption.

Provide leadership and mentorship to the data science team, facilitating their professional growth and development.

Who you are :

Bachelors degree in Computer Science, Data Science, Statistics, or a related field. A masters degree is preferred.

Proven experience (5+ years) in managing data science projects, preferably in a fast-paced and dynamic environment.

Strong understanding of data science concepts, machine learning algorithms, and statistical modelling techniques.

Proficient in project management methodologies, tools, and techniques. Excellent organizational and time management skills, with the ability to prioritize tasks and meet deadlines.

Exceptional problem-solving and analytical abilities, with keen attention to detail.

Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and present complex concepts to non-technical stakeholders.

Strong leadership skills, with the ability to motivate and inspire team members.

Experience with data visualization tools, programming languages (e.g., Python, R), and big data technologies is a plus.