Software Consultant

Compunnel, Inc.; Minneapolis (MN); On-site; USD 85,000 - 110,000; Full time

Job summary

A leading analytics firm is seeking a Software Consultant to drive innovation through data science and machine learning. The role involves designing advanced analytics engines and collaborating with teams to develop data-driven strategies. Candidates should have strong experience with Marketing Mix Models (MMM), proficiency in Python, and the ability to analyze complex data sets. Excellent problem-solving and communication skills are essential.

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.

Responsibilities

• Apply expertise in statistics, mathematics, data science, and AI to develop analytics solutions.
• Design, prototype, and build next-generation analytics engines and services.
• Collaborate with product owners and other data scientists.
• Define technical problem statements and hypotheses for testing.
• Develop efficient analytical models that simulate business decisions.
• Challenge historical assumptions and recommend strategies.
• Share problem-solving approaches with team members.

Skills

Marketing Mix Models (MMM)

Marketing Attribution Models

Python

Cloud-based AI platforms

Data science

Machine learning

Statistical analysis

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.