Description:

The Quantum Data Analyst will leverage quantum-powered solutions to solve intricate data problems and uncover transformative insights.
This role involves collaborating with quantum researchers, data scientists, and engineers to apply quantum techniques to real-world data challenges.
Key responsibilities include analyzing data using quantum tools, applying quantum-enhanced machine learning, developing and optimizing quantum data pipelines, and collaborating on quantum algorithm development.
The analyst will benchmark quantum versus classical approaches, visualize quantum-enhanced insights, and stay updated on advances in quantum data science.

Requirements:

Proficiency in quantum computing frameworks such as Qiskit, Cirq, TensorFlow Quantum, or PennyLane is required for quantum algorithm implementation.
Strong data analysis expertise with knowledge of classical data analytics tools and frameworks, including Python (Pandas, NumPy), R, or SQL, along with experience in statistical modeling and machine learning.
A strong foundation in linear algebra, probability, and optimization is essential for understanding and applying quantum algorithms.
Advanced programming skills in Python or similar languages are necessary for developing data analysis workflows and integrating quantum tools.
Candidates must demonstrate problem-solving and innovation abilities to identify opportunities where quantum computing provides value and design tailored solutions.
A Master’s or Ph.D. in Data Science, Computer Science, Physics, Mathematics, or a related field is required, with equivalent experience in quantum computing and data analytics considered.
A minimum of 3 years of experience in data analysis or data science is required, with at least 1 year focused on quantum computing applications.
Proven experience in solving data problems using advanced techniques, including quantum or hybrid quantum-classical methods, is necessary.
Familiarity with real-world datasets and domain-specific challenges in industries such as finance, healthcare, or logistics is a plus.

Comprehensive medical, dental, and vision insurance plans are offered with low co-pays and premiums.
Employees receive competitive vacation, sick leave, and 20 paid holidays per year.
Flexible work schedules and telecommuting options promote work-life balance.
Opportunities for training, certification reimbursement, and career advancement programs are available for professional development.
Access to wellness programs, including gym memberships, health screenings, and mental health resources, is provided.
Life insurance and short-term/long-term disability coverage are included in the benefits package.
The Employee Assistance Program (EAP) offers confidential counseling and support services for personal and professional challenges.
Financial assistance for continuing education and professional development is available through tuition reimbursement.
Employees can participate in community service and volunteer activities, fostering community engagement.
Recognition programs are in place to celebrate employee achievements and milestones.