Fractal Analytics
Lead Marketing Data Scientist
Fractal Analytics, New York, New York, us, 10261
It's fun to work in a company where people truly BELIEVE in what they are doing!We're committed to bringing passion and customer focus to the business.Lead Marketing Data Scientist - EconometricsFractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a Cool Vendor and a Vendor to Watch by Gartner.Please visit Fractal | Intelligence for Imagination for more information about FractalLocation:
Sunnyvale, CA. (On-site)Position Overview:Do you love problem solving and thinking beyond an obvious solution? Do you thrive in ambiguity and teams where little direction should fuel your creativity?We are looking for a seasoned data scientist to lead econometric analysis projects such as experimentation, marketing mix modeling, time series and regression-based methods, customer level probability modeling, product analytics etc... The ideal candidate is a self-starter with marketing science experience along with a wide range of technical skills.Qualifications:Business Skills:Seasoned data scientist with 8+ years of experience in econometrics and time series modeling, marketing mix models, causal impact, and other regression-based methods.
Design and execute experiments to assess the impact of website, email, and app store changes on key business metrics.
Collaborate with Data science stakeholders to develop and implement nonexperimental regression based causal methods and analytics frameworks for incrementality assessment.
Lead statistical modeling efforts to support decision enablement, and ability to rationalize business interpretation of modeling results.
Excellent communicator with good presentation skills, to communicate insights effectively to both technical and non-technical stakeholders.
Understanding of product analytics, marketing analytics, and understanding of different channels (both digital and offline) measurement, methodologies, and industry standards.
Self-starter can take a project from start to finish with minimal supervision.
Flexibility to deal with rapidly changing, time-constrained launch schedules.
Highly detail-oriented, organized, and outcome oriented.
Technical Skills:Solid understanding of fundamental statistical concepts (probability, multi-variate testing), experimental design, and measurement methodologies, particularly econometrics and regression-based techniques
Proficient in statistical software (ex. R, Python or similar) and familiarity with relevant libraries
Solid knowledge of advanced machine learning techniques (ex. Arima, Bayesian, Logistic Ridge regression, XG boost) and other algorithms, and integration into analytics workflows
Strong working knowledge of SQL, Teradata and Snowflake preferred.
Proficiency with Tableau and other Data Visualization and understanding of end state user experience/usability is a plus.
Education:Advanced degree (Masters+) in a quantitative field such as Mathematics, Statistics, Economics, Engineering, Computer Science, or equivalent experience.
Keywords:Econometrics, Web Experimentation, Market Mix Modeling and Causal Impact Modeling, Agent Based Modeling, Logistic RegressionPay:The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $90,000 to $160,000. In addition, you may be eligible for a discretionary bonus for the current performance period.Benefits:As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a free time PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!Not the right fit? Let us know you're interested in a future opportunity by clicking
Introduce Yourself
in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
Sunnyvale, CA. (On-site)Position Overview:Do you love problem solving and thinking beyond an obvious solution? Do you thrive in ambiguity and teams where little direction should fuel your creativity?We are looking for a seasoned data scientist to lead econometric analysis projects such as experimentation, marketing mix modeling, time series and regression-based methods, customer level probability modeling, product analytics etc... The ideal candidate is a self-starter with marketing science experience along with a wide range of technical skills.Qualifications:Business Skills:Seasoned data scientist with 8+ years of experience in econometrics and time series modeling, marketing mix models, causal impact, and other regression-based methods.
Design and execute experiments to assess the impact of website, email, and app store changes on key business metrics.
Collaborate with Data science stakeholders to develop and implement nonexperimental regression based causal methods and analytics frameworks for incrementality assessment.
Lead statistical modeling efforts to support decision enablement, and ability to rationalize business interpretation of modeling results.
Excellent communicator with good presentation skills, to communicate insights effectively to both technical and non-technical stakeholders.
Understanding of product analytics, marketing analytics, and understanding of different channels (both digital and offline) measurement, methodologies, and industry standards.
Self-starter can take a project from start to finish with minimal supervision.
Flexibility to deal with rapidly changing, time-constrained launch schedules.
Highly detail-oriented, organized, and outcome oriented.
Technical Skills:Solid understanding of fundamental statistical concepts (probability, multi-variate testing), experimental design, and measurement methodologies, particularly econometrics and regression-based techniques
Proficient in statistical software (ex. R, Python or similar) and familiarity with relevant libraries
Solid knowledge of advanced machine learning techniques (ex. Arima, Bayesian, Logistic Ridge regression, XG boost) and other algorithms, and integration into analytics workflows
Strong working knowledge of SQL, Teradata and Snowflake preferred.
Proficiency with Tableau and other Data Visualization and understanding of end state user experience/usability is a plus.
Education:Advanced degree (Masters+) in a quantitative field such as Mathematics, Statistics, Economics, Engineering, Computer Science, or equivalent experience.
Keywords:Econometrics, Web Experimentation, Market Mix Modeling and Causal Impact Modeling, Agent Based Modeling, Logistic RegressionPay:The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $90,000 to $160,000. In addition, you may be eligible for a discretionary bonus for the current performance period.Benefits:As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a free time PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!Not the right fit? Let us know you're interested in a future opportunity by clicking
Introduce Yourself
in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!