Remote Senior Data Scientist

Job Title        Remote Senior Data Scientist

Location        Atlanta (Remote Role) GA

Duration     12 months /Contract

JOB DESCRIPTION

INTERVIEW MODE-VIDEO

100% REMOTE

USC ONLY

Candidate Requirements:

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• Experience: 10 years as a Data Scientist SME with expertise in delivering complex data solutions.

Update from the client hiring manager:

Our ideal candidate needs to be more than just a skilled executor of data science tasks. We are seeking someone who can strategically establish our data science function, create foundational processes, and set a forward-looking direction for the function.

The current candidates, though technically proficient, appear better suited to joining an established data science team rather than pioneering and scaling a new organizational capability.

Senior Data Scientist (PNA) # 1012630

Job Description:

The Smart Mobility Office (SMO) at Panasonic is at the forefront of innovation in the transportation industry, spearheading transformative solutions to optimize mobility systems and enhance user experiences. Within SMO, the Cirrus team is seeking a Senior Data Scientist to serve as the primary Subject Matter Expert (SME) in data science. This role will involve analyzing large datasets, developing predictive models, and collaborating with cross-functional teams to drive data-driven decisions in mobility and IoT solutions.

Key Responsibilities:

• Lead end-to-end data science projects, establishing best practices and methodologies.
• Design and implement advanced models and algorithms to solve mobility-related challenges, including IoT data applications.
• Analyze structured and unstructured datasets using Python and SQL to extract actionable insights.
• Partner with engineers, product managers, and stakeholders to integrate data-driven solutions into products.
• Drive thought leadership, including publications, patents, and insights within the industry.
• Mentor team members and foster a culture of innovation and continuous improvement.
• Deploy machine learning models in production environments and present findings to stakeholders effectively.

Qualifications:

• 10 years of data science experience, including leadership of complex projects.
• Expertise in Python (e.g., Pandas, NumPy, Scikit-Learn, SciPy) and SQL.
• Familiarity with AWS or similar cloud platforms, and infrastructure as code concepts (e.g., Terraform).
• Experience with Snowflake, data visualization tools like Apache Superset, and machine learning implementation.
• Excellent problem-solving and communication skills, with the ability to explain data insights to non-technical stakeholders.
• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.

Susmita.singh@intimeinfy.com