About Madison Logic:
Our team is reshaping B2B marketing and having fun in the process! When joining Madison Logic, you are committing to giving 100% and always striving for more. As a truly global company, we take pride in a diverse culture free from gender, racial, and other forms of bias.
Our Vision: We empower B2B organizations globally to convert their best accounts faster
Our Values:
URGENCY Lead with Action. Prioritize Follow-up.
ACCOUNTABILITY Don't Point Fingers. Take Responsibility.
INNOVATION Think Big. Innovate.
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RESPECT Respect Customers. Respect Each Other.
INTEGRITY Act Ethically. Lead by Example.
At ML you will work with & learn from an incredible group of people who care about your success as much as they care about their own. Our team is at the heart of what we do and our success starts with you!
About the Role:
Reporting to the Sr. Director of Data Analytics, Data Scientist applies machine learning and artificial intelligence to solve complex business challenges, translating cutting-edge research into practical, impactful solutions. This role demands a proactive approach to problem-solving, the ability to develop solutions for real-world challenges, and the skill to convey technical insights effectively to both technical and non-technical stakeholders.
Responsibilities:
- Communicate Advanced Research and Modeling Insights: Translate complex, model-driven findings into actionable insights for technical and non-technical audiences, using storytelling and visualization to clarify sophisticated data science concepts.
- Lead and Execute Data Science Research: Direct and conduct applied research on complex data science problems, utilizing statistical modeling, machine learning, and deep learning techniques to develop innovative solutions. Drive hypothesis generation, model selection, and validation to ensure robustness and relevance of findings.
- Advance Data Science and Modeling Expertise in a Fast-Paced Setting: Stay at the forefront of emerging research and algorithmic techniques, applying the latest advances in machine learning, natural language processing, and statistical modeling to solve business challenges. Rapidly adapt research methods to meet the evolving demands of a dynamic, data-driven environment.
- Innovate with Model Development and Optimization: Address complex problems through advanced model development, selection, and optimization. Leverage a thorough understanding of model evaluation, hyperparameter tuning, and bias mitigation to ensure high-quality, fair, and effective solutions that enhance business outcomes.
- Conduct Research to Drive Strategic Insights: Design and execute rigorous studies that yield strategic insights, integrating research into actionable frameworks. Develop novel methodologies and frameworks that directly inform data-driven decision-making and align with key business priorities.
Basic Requirements:
- On-site working at the ML physical office, 5-days per week required
- Advanced degree (Ph.D. or Master's) plus 4+ years of non-academic professional experience
- Proficiency in Python or R (both preferred)
- SQL expertise
- Strong background in statistical methods, including: Regression analysis, Model testing, Logistic regression, Generalized Linear Models (GLM) and Solid understanding of statistics and random variables
- Technical Knowledge:
- Familiarity with one or more advanced machine learning techniques:
- Gradient Boosting Machines (GBM)
- K-means clustering
- Neural Networks
- Support Vector Machines (SVMs)
- Bayesian Networks
- Natural Language Processing (NLP)
- Experience with machine learning frameworks such as: TensorFlow, Scikit-learn, PyTorch and Keras
Other Characteristics:
- Team player and proven relationship-builder
- Strong interpersonal skills, high level of professionalism and integrity
- Excellent organizational and project management skills
- Experience handling multiple responsibilities, tasks, and projects in a fast-paced environment preferred
- A positive attitude that approaches tasks/projects from a hands-on, roll up your sleeves frame of mind
Work Environment:
We offer a mix of in-office and hybrid working. Hybrid remote work arrangements are not available for all positions. Please refer to the job posting detail to determine what in-office requirements apply. Where applicable, hybrid WFH days work must be conducted from your home office located in a jurisdiction in which Madison Logic has the legal right to operate. WFH requires availability and responsiveness on a full-time basis from a distraction free environment with access to high-speed internet. Please inquire for more details.
Pay Transparency/Equity:
We are committed to paying our team equitably for their work, commensurate with their individual skills and experience. Salary Range and additional compensation, including discretionary bonuses and incentive pay, are determined by a rigorous review process taking into account the experience, education, certifications and skills required for the specific role, equity with similarly situated team members, as well as employer-verified region-specific market data provided by an independent 3rd party partner.
We will provide more information about our perks & benefits upon request.
Our Commitment to Diversity & Inclusion:
Madison Logic is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of sex, race, color, religion, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status.
Privacy Disclosure:
All of the information collected in this form and/or by your application by submission of your online profile is necessary and relevant to the performance of the job applied for. We will process the information provided by you in this form, your CV (including physical and online resume profiles), by the referees you have noted, and by the educational institutions with whom we may undertake to verify your qualifications with, in accordance with our privacy policy and for recruitment purposes only.
For more information on how we process the information you have provided including relevant lawful bases (where relevant) please see our privacy policy which is available on our website (https://www.madisonlogic.com/privacy/).