Senior Data Scientist

ABOUT ØPUS

Introducing ØPUS Intelligence, where conventional marketing is revolutionized through cutting-edge data science and AI. Our proprietary blend harnesses interests, authority, and attention to drive tangible purchase behavior. Our algorithmic approach delves deep into both brand and category behaviors, allowing businesses to weaponize powerful patterns and put them into action.

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Demographics alone fall short in understanding consumer motivations, conversions, and engagement. At ØPUS, we've cracked the code by mapping brand-consumer connections at a deeper level. This transformative methodology, once the secret weapon of industry giants like Nike, Beats by Dre, and Apple, is now accessible to brands of all sizes. Now, we’re unlocking unparalleled advantages such as: unprecedented speed and agility, precise targeting, contextual engagement that resonates, and unmatched conversion rates. Our Opportunities open doors for brands, sports teams, and talent to unlock profound connections with their audience. We drive explosive results, amplify ROI, and foster deeper customer relationships.

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ØPUS Intel is well-funded by leaders in the data and entertainment industries. The Lead Data Scientist will work closely with data engineering, product and development leaders gaining a broad experience of working in data science. This is a rare chance to join a founding team and hold a key strategic role in developing the Data Science + Engineering function at early stage.

RESPONSIBILITIES

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• Design and implement proprietary explanatory and predictive models utilizing ML techniques 
• Define models’ quality and performance metrics and implement their monitoring systems
• Interface with Data Engineering team to establish "feature stores" and data pipeline contracts
•  Develop and execute model deployment process and live servicing
•  Establish and own classifications strategy, taxonomy and mapping meta-data
• Analyze efficacy of natural language models to optimize performance against specified business metrics 
  

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QUALIFICATIONS

• In-depth knowledge of statistical analysis, EDA, modeling, and machine learning techniques
• 5+ years of work experience with productionized ML models
• Proven experience in models life-cycle management, including deployment, integration, and live monitoring  
• Hands-on experience with NLP and advanced text mining. Familiarity with ML Image & Video Analysis is a plus
•  Experience in classification and taxonomy design, mapping and change management
• Highly proficient and hands-on with SQL, NoSQL and Python
• Experience in designing ML experiments, A/B tests and performance metrics
• Familiarity with AWS Redshift, Spark, or other cloud-based technologies for model training and scoring
• Familiarity with social data api’s and publicly available data a plus 
• Familiarity with ranking and recommendation systems
• Exceptional project planning skills, including estimating, scheduling, and executing on committed schedules
• Ability to work in a fast-paced, ambiguous environment while prioritizing and managing multiple responsibilities
• Ability to dive deep into complex technical problems and drive change
• Excellent problem solving skills with a strong attention to detail

COMPENSATION + BENEFITS

• The expected base is $160,000. The actual base pay is dependent upon many factors, such as: education, experience, and skills.
• Seed-stage equity grant
• Unlimited time off
• Hybrid work schedule
• Medical. Dental, and Vision for employees and their families
• 12-weeks paid parental Leave
• 401k Contributions

We are an Equal Opportunity Employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, disability, or veteran status.

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