Area: United States of America
Stato/Provincia/Città: Remote
Città: Remote USA
Unità Affari: Store Support Centre (SSC)
Area: United States of America
Stato/Provincia/Città: Remote
Città: Remote USA
Unità Affari: Store Support Centre (SSC)
Sr. Manager, People Research Science
Who we are:
lululemon is a yoga-inspired technical apparel company up to big things. The practice and philosophy of
yoga informs our overall purpose to elevate the world through the power of practice. We are proud to be
a growing global company with locations all around the world, from Vancouver to Shanghai, and places in
between. We owe our success to our innovative product, our emphasis on our stores, our commitment to
our people, and the incredible connections we get to make in every community we are in.
About this team:
The People Analytics & Insights team at lululemon is on a journey to create a high-performance work culture
by support the People & Culture (HR) organization and the business with data-driven insights. As a Sr. Manager
of People Research Science, you will lead and build a team of People Scientist and Employee Listening
professions in service of the broader People Analytics team to conduct research and listening initiatives that
our business leaders need to help scale and grow lululemon. You will be responsible for driving the research
science vision and introduce ML principles and build prescriptive analytics into the way of life at lululemon.
A day in the life:
• Lead and grow a world class applied science team
• Lead, conduct, and support applied organizational research projects that have high technical depth
and business impact, including areas of statistical and causal inference, user modeling, social network
analysis, etc.
• Lead multiple projects, inferring the ROI of our programs through scientifically backed methods
• Work with large and complex data sets to solve a wide array of challenging problems using different
analytical and statistical approaches.
• Contribute towards advancing the Listening & Research discipline at lululemon, including but not
limited to driving data best practices (e.g. analysis, experimentation etc), documenting research
processes, and writing write papers to contribute to the lululmeon people science knowledge base.
• Utilize advanced quantitative methods such as experimental methods, causal inference, and creating
NLP to tackle complex, long-term challenges that have a significant impact on our business.
• Consulting on survey design to achieve the research results needed to produce insights desired
• Conduct data analysis of major survey projects across the lifecycle of employment through a
continuous listening approach
• Stay informed about industry trends, emerging technologies, and competitive landscapes to
inform research strategies and stay ahead of the curve
Qualifications:
• Master's degree in Statistics, Data Science, Mathematics, Psychology, Economics, Operations Research, Engineering, or a related quantitative field. (PhD preferred)
• 8 years of work experience using analytics to solve product or business problems, coding (e.g.,
Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a
PhD degree. .
• 3 years of experience as a people manager within a technical leadership role.
• Excellent communication skills and experience successfully partnering with senior leaders to drive
improved outcomes for the business through analytics.
• Proven ability to perform with a high degree of accuracy and detail orientation
• Proven ability to deliver presentations to stakeholders that tell a compelling story using analytics
relevant to the audience.
• Experience with employees and organizational data is preferred required
• Advanced People Analytics domain knowledge required
• Preference will be given to published researchers
• Discretion and experience working with sensitive and confidential data
• Training in a quantitative field, computer science, economics, or other relevant fields.
• Advanced SQL , querying, data mining & cleaning skills
• Expert Experience with R or Python is required
• Experience building Machine Learning Models
Must haves:
• Acknowledges the presence of choice in every moment and takes personal responsibility for their
life.
• Possesses an entrepreneurial spirit and continuously innovates to achieve great results.
• Communicates with honesty and kindness and creates the space for others to do the same.
• Leads with courage, knowing the possibility of greatness is bigger than the fear of failure.
• Fosters connection by putting people first and building trusting relationships.
• Integrates fun and joy as a way of being and working, aka doesn’t take themselves too seriously.
workplace arrangement
This role is classified as Remote under our SSC Workplace Policy:
Remote –
Outside reasonable commuting distance to an office site, work is performed from home.
Solo i candidati selezionati verranno contattati. Ti ringraziamo sentitamente per il tuo interesse. lululemon è un’azienda che rispetta le pari opportunità di impiego. I nostri collaboratori vengono selezionati in base al merito e alle esigenze aziendali, e non in base a etnia, colore della pelle, età, sesso, genere, orientamento sessuale, origine nazionale, religione, stato civile, stato di salute, disabilità fisica o mentale, servizio militare, stato di gravidanza, nascita di figli e condizioni mediche correlate, né ad altre categorie protette da leggi od ordinanze federali, di stato, provinciali e locali. Su richiesta, è possibile trovare soluzioni adeguate alle esigenze particolari di soggetti qualificati con disabilità. La politica sulle Pari opportunità di impiego si applica a tutte le prassi relative a reclutamento e assunzione, retribuzione, benefit, disciplina, trasferimenti e licenziamento, e a tutti gli altri termini e condizioni di impiego. È compito della dirigenza assicurarsi che le politiche sulle pari opportunità di lululemon vengano rispettate. Ciascun dipendente viene comunque chiamato ad agire nel rispetto delle stesse.
lululemon si impegna a fornire sistemazioni adeguate per le persone candidate con disabilità. Se desideri che qualcuno del nostro team ti contatti per un'assistenza personalizzata, manda un'e-mail all'indirizzo accommodations@lululemon.com. Nell'e-mail inserisci il ruolo, la posizione geografica e il tipo di richiesta.