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Senior Data Scientist

Fractal 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 Fractal

Location: Sunnyvale, CA. (On-site)

Position Overview:
We are looking for an experienced Senior Data Scientist within the technology sector. In this role, you will be responsible for developing hypotheses, designing, and executing experimental methods, and deriving actionable insights from experiment results. Your analytical skills will extend to analyzing data from pseudo-experiment settings, utilizing techniques like causal inference and look-alike modeling to estimate incrementality from changes.

As part of a team, you’re deeply committed to the two-sided challenge of driving all aspects of the extraction of insights from the inconsistent and intangible world of data and delivering insight to the business leaders. Being aware of how frustratingly valuable web data can be, you’re able to build the skills to collect and interpret that data.

Key Responsibilities:

You will provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn’t exist. You will be critical to decision-making

You will partner with eCommerce and Digital Marketing leaders to provide key marketing insights and influence strategic decisions. You will collaborate with stakeholders and analysts to ensure reporting solutions are scalable, repeatable, effective, and meet expectations of various leaders

Using multitude of data source, you will connect the dots across multiple problems to see the larger picture that helps shape analyses and findings that drive longer term solutions than just answering short term questions

You will bring rigor and robustness in approach and translate them into meaningful insights, tools and value for the Business

Skills & Qualifications:

8-12 years of experience in data science, performance marketing analytics, web analytics, eCommerce or digital marketing, and building scalable data products

Highly proficient in programming languages and stats packages (Python/R), scripting languages (SQL), and familiarity with Product Analytics tools (ex. Adobe analytics)

Experience in customer segmentation, propensity modeling, targeting and personalization

Experience in churn prediction to identify customers who are likely to stop using the service or making purchases, Customer Lifetime value development, and Market Basket analysis to understand which products are frequently bought together.

CLTV development, customer segmentation, propensity modeling, customer prediction

Experience building recommendation systems based on previous purchase behavior.

Experience with conversion rate optimization, customer journey mapping, and experimental design and causal inference.

Experience with matched market testing, and dynamic optimization methods.

Strong fluency in translating complex data into crisp insights, actions and recommendations

Ability to influence business decisions and utilizing data at the leadership level

Excellent problem-solving skills and end-to-end quantitative thinking

Ability to manage multiple projects simultaneously to meet objectives and key deadlines

Outstanding communications skills with both technical and non-technical leaders and colleagues

Education:

BA or BS degree in a quantitative field such as Statistics, Mathematics, Data Analytics, Finance, Advanced Analytics, or a relevant field. Master’s Degree

Mandatory Skills:  Data Science, AI/ML, Customer Analytics, Marketing Measurement, Web Analytics, eCommerce or Digital Marketing.

Pay:

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 $130,000. 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!

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