About this opportunity
Compunnel, Inc. lists this Software Consultant opportunity in minneapolis, Minnesota. Review the employer’s description below for duties, qualifications and application requirements.
Job description
We are seeking a Software Consultant with expertise in Marketing Mix Models (MMM), Marketing Attribution Models, Python, and cloud-based AI platforms.
This role involves designing and building advanced analytics engines and services that support data-driven decision-making.
The ideal candidate is analytical, curious, and passionate about uncovering insights and driving innovation through data science and machine learning.
Key Responsibilities
Apply expertise in statistics, mathematics, data science, AI, machine learning, data mining, and information retrieval to develop advanced analytics solutions.
Design, prototype, and build next-generation analytics engines and services.
Collaborate with product owners, business partners, and other data scientists in the consumer marketing and media space.
Define technical problem statements and hypotheses for testing.
Develop efficient and accurate analytical models that simulate business decisions.
Challenge historical assumptions and recommend data-driven strategies.
Share problem-solving approaches and insights with team members.
Required Qualifications
Strong experience with Marketing Mix Models (MMM) and Marketing Attribution Models.
Proficiency in Python and cloud-based AI platforms.
Ability to analyze complex data sets and identify patterns and opportunities.
Experience in designing and implementing machine learning models.
Excellent problem-solving and critical thinking skills.
Strong communication skills and ability to collaborate across teams.
Preferred Qualifications
Experience in consumer marketing and media analytics.
Familiarity with data visualization and reporting tools.
Background in statistical modeling and predictive analytics.
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Worksite address
minneapolis, MN, 55400, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.