Senior Manager, Data Science

4653 Mission Street, 94112 San Francisco, États-Unis

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Description de l'entreprise

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes.

Why Join The Sia Team?

These are the six core values that guide all our actions. As an expression of our values, our Sia team concept describes our commitment to fostering a sense of community within and among our offices. We believe that knowledge sharing is the key, not only to innovation, but to the growth and development of our people.

Your experience at Sia will be enriched by a(n):

Entrepreneurial journey
Career advocacy program that supports achieving professional development goals through guidance, and real-time feedback
Continuous learning & development opportunities
Diversity, equity, and inclusion programs with an ever-growing list of global affinity initiatives

Description du poste

Sia Partners is on the lookout for an exceptional Manager in Data Science. This pivotal role involves working with cutting-edge data science technologies and driving transformation within the organization and among our clients. The successful candidate will spearhead our data science initiatives, leading a team of talented data science consultants, to deliver innovative solutions that meet our clients' diverse needs.

Key Responsibilities:

Lead and mentor a team of data science consultants, fostering an environment of growth and development within the Data Science Business Unit.
Collaborate closely with client leadership teams, engineers, program managers, and data analysts to understand and address data needs comprehensively.
Drive the acquisition, processing, and exploration of relevant data sources, leveraging both structured and unstructured data to uncover trends and patterns.
Employ expert data analytics and data science skills to extract insights, build predictive models, and develop machine-learning algorithms.
Design and implement change management strategies to support the successful adoption of data science solutions across various organizational contexts.
Utilize advanced project management methodologies to oversee projects from inception to completion, ensuring alignment with client objectives and timelines.
Develop and deliver high-impact communications through presentations, dashboards, datasets, and other mediums to convey complex data insights effectively.
Engage in Business Development activities, contributing to the growth of the Data Science Business Unit and achieving sales targets.

Compétences

A minimum of 8 years' experience in data science or a related field, with a proven track record of leading successful projects in complex organizations.
Strong foundational knowledge in data science, including expertise in model building, machine learning, NLP, and statistical techniques.
Proficiency in R, SQL, Python, and data visualization tools such as Tableau, PowerBi, or R Shiny.
Bachelor's degree in Data Science, Computer Science, Engineering, or a related field. Advanced degrees preferred.
Demonstrated experience in project management, with certifications in Agile or other relevant methodologies being advantageous.
Exceptional leadership, coaching, and influence skills, with the ability to build trust and foster collaborative relationships at all organizational levels.
Excellent communication, presentation, and problem-solving abilities, coupled with a strong business acumen and entrepreneurial mindset.
Comfortable with ambiguity and motivated by a dynamic, fast-paced work environment.

Informations complémentaires

Compensation & Benefits

Salary range between $160,000- $200,000 + Bonus
Healthcare coverage that includes medical, dental, vision and life insurance policies
Generous time off
Parental leave paid at 100% of base pay for all new parents regardless of gender
Building Healthy Families Program
9 Company Holidays + 1 Floating Holiday
401(k) Plan - 4% matching on day 1
College save-up plan & college loan repayment plan
Monthly cell phone stipend
Commuter Benefits
Gym Reimbursement through firm medical plan

Our Commitment To Diversity

At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information.

Hybrid Workplace Guidelines

Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco are expected to live within a reasonable commuting distance and attend the office at least three days per week. For applicants in other markets, including those without a local office, we offer more flexible in-person requirements to accommodate your location.

Work Authorization & Sponsorship

At this time, Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status). 

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.

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