Sorry, this listing is no longer accepting applications. Don’t worry, we have more awesome opportunities and internships for you.

Manager, Data Science

ConsumerTrack

Manager, Data Science

New York, NY +2 locations
Full Time
Paid
  • Responsibilities

    Job Description

    ConsumerTrack is unique in the digital marketing and media industry - we combine marketing, digital, content and fintech. Our performance based approach increases brand awareness and generates targeted audience engagement on our internal web properties and partner sites.

    Learn More About What We Do

    We are looking for an experienced and highly motivated Data Scientist to lead our efforts to help vastly expand the Artificial Intelligence and Machine Learning capabilities of our platform to grow Revenue through machine learning. You will be empowered to define the measurement strategy, generate data-driven insights into system performance and testing, and provide a sound statistical basis for determining autonomous systems' product readiness.

    REQUIREMENTS

    • Hands-on experience of statistical modeling from conceptualization, methodology creation, deployment and validation and ultimately delivering final insightful recommendations.
    • Robust mathematical skill, with strong working knowledge in some and the ability quickly to be competent in the rest of the gamut of modeling techniques and associated tooling, for examples:
    • Established statistical methods for data reduction (e.g., factor analysis, PCA) and for predictions (e.g., regression, classification);
    • Established machine learning methods for feature extraction (e.g., neural nets), for data reduction (e.g., clustering) and for prediction (e.g., decision trees, graph/network analysis);
    • Excellent understanding of machine learning algorithms, such as k-NN, Naive Bayes, SVM, Random Forests, ensembles, etc.
    • Experience with common data science toolkits, such as sklearn, tensor-flow, keras, gensim, etc and NLP toolkits such as nltk, spacy, etc
    • Experience with data visualisation tools such as D3.js, plotly / seaborn / matplotlib / tensor-board, Tableau, etc
    • Experience with Auto ML Solutions like DataRobot or H2O Driverless AI
    • Proficiency in working with both NoSQL and relational databases such as DynamoDB, Elasticsearch, etc
    • Expert proficiency with statistical modeling tools like SAS, R, Python, etc.
    • Good scripting and programming skills using Python, bash, etc
    • Strong communication and interpersonal skills (both written and verbal)
    • Masters or advanced degree with 5+ years experience in CS, Statistics, Machine Learning, Applied Mathematics or a related field, PhD a plus.

    FUNCTIONS/RESPONSIBILITIES

    • Hire excellent Data science talent, mentor them, and lay a clear growth path for your team
    • Develop new methodologies for digital ad conversion, pacing, and yield.
    • Improve upon existing methodologies by adding new data sources and implementing model enhancements.
    • Translate analytical insights into concrete, actionable recommendations for business or product improvement, and communicate your research and insights to all levels of the company, clearly and concisely.
    • Drive scalable solutions using available AWS infrastructure
    • Create and track accuracy and performance metrics (both technical and business metrics).
    • Create, enhance, and maintain technical documentation, and present to other scientists, engineers, and business leaders.
    • Experience instilling a culture of ownership, collaboration, and results.
    • Drive best practices on the team; mentor and guide junior members to achieve their career growth potential.

    BENEFITS

    • Competitive salary with excellent growth opportunity; we pride ourselves in having a team that exudes leadership, high initiative, creativity and passion.
    • Awesome medical, dental and vision plans with heavy employer contribution
    • Paid maternity leave and paternity leave programs
    • Paid vacation, sick days and holidays
    • Company funding for outside classes and conferences to help you improve your skills
    • Contribution to student loan debt payments after the first year of employment
    • 401(k) -- employees can start contributing immediately. After the first year, CTI matches your contribution up to 4% of your salary

    A note about our response to COVID -19 and our new norm: The world has changed and we know its important to adapt and to do our part to take care of our teams in this global pandemic. Our number one priority is to have our ConsumerTrackers feel safe, balanced and connected. Were committed to providing our teams with the best resources and tools to navigate this new virtual world that were living in. We've also reinvented the ways in which we recognize, celebrate, and engage with each other to keep our culture strong!

    Heres a peek into our world at ConsumerTrack -

    • Our teams are working remotely 100% for the foreseeable future and have flex time. Were in the digital media space so were mobile and flexible!
      • *Option to work from an office (if you need to get away!)
    • Tools & resources are available to keep our team connected across North America. (JIRA, Trello, Airtable, Slack, Zoom and so much more!)
    • To keep our community of ConsumerTrackers engaged and connected, virtual team building events are held weekly and monthly.
    • For wellness and balance, weekly virtual fitness classes such as yoga are available.
    • To care for the local communities that were a part of across the U.S our team members host socially distanced philanthropic events every quarter.
    • And most importantly, weve committed to consistent and transparent communication to help us all stay informed, engaged and to keep us on our path to success and #greatness.

    We are an equal-opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

  • Locations
    Los Angeles, CA • New York, NY • Austin, TX