Principal Data Scientist

| Chicago

 

Responsibilities

  • Be the thought leader for data science, AI and ML across the organization’s highest-impact data initiatives.
  • Provide leadership, guidance and mentoring to the data scientists and practitioners in our product and delivery teams.
  • Define features, tooling and improvements to our products and processes.
  • Be the visible face of the data science team to internal partners, external customers and prospects, and the data scientist community at large.
  • Help grow our data science team for the future.
  • Keep pulse of the latest development in AI/ML, big data, and the tools and products data scientists and businesses uses.

 

Role Specific Skills

  • Strong problem-solving skills with an emphasis on product development
  • Experience using scripting languages and tools (Python, R, etc.) to manipulate data and draw insights from large datasets
  • Experience working with and creating data architectures
  • Knowledge of a variety of machine learning techniques (clustering, decision tree, neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications
  • A drive to learn and master new technologies and techniques
  • Familiar with the following software/tools/platforms:
    • Coding knowledge and experience with programing languages such as C#, C++, Java, JavaScript, etc.
    • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
    • Experience querying databases and using scripting languages: Python, SQL, etc.
    • Experience with cloud computing (ML) platforms (AWS, Azure, etc.)
    • Experience with distributed data/computing tools: MapReduce, Hadoop, Hive, Spark, etc.
    • Experience creating and using advanced machine learning algorithms and statistics: Regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience with data visualization tools and presenting data to stakeholders

   Professional Skills

 

These are the professional skills we would expect from an individual fully established in this role.

  • Customer Service - Proficient
  • Verbal Communication - Advanced
  • Written Communication - Advanced
  • Teamwork - Advanced
  • Relationships – Advanced
  • Organizational Awareness - Proficient
  • Learning Agility - Expert
  • Analysis - Expert
  • Problem Solving - Expert
  • Process Orientation - Expert
  • Prioritization - Advanced

 

People Management Skills

  • Proficient in all people management processes, including recruitment, performance management and reward
  • Proficient in building, growing and developing a team; including department structure design and resourcing
  • Proficient in coaching and developing individual team members to reach their potential
  • Proficient in engaging a team through communication, processes, personal impact and influence]

 

Qualifications

    Minimum Qualifications

  • Bachelor’s degree required. Master’s or PHD in Statistics, Mathematics, Computer Science or another quantitative field (Preferred)
  • At least 8 years of experience in developing and applying advanced analytics and machine learning techniques to software product development and creating high-impact business analytics initiatives

  Other Relevant Qualifications

  • Experience building production services, preferably as part of a product development team. A track record of implementing data-driven products is ideal
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Location

875 North Michigan Avenue , Chicago, IL 60611

What are SMS Assist Perks + Benefits

Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Pet Insurance
Wellness Programs
Onsite Gym
Retirement & Stock Options Benefits
401(K)
Performance Bonus
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Family Medical Leave
Vacation & Time Off Benefits
Paid Volunteer Time
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Professional Development Benefits
Job Training & Conferences

Additional Perks + Benefits

Competitive Salary. Flexible Spending Plans. Prescription Drug Program. Free Fitness Center membership.

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