Senior Data Science Consultant

5 days ago

San Francisco, California, United States Sia Partners' Full time

Sia Partners is a next–generation consulting firm dedicated to creating state–of–the–art narratives for transformation and innovation and deploying them at scale. Our goal is to deliver superior value and tangible results to our clients as they navigate the digital revolution and achieve transformations which generate a positive impact. Our global footprint and expertise in more than 40 sectors and services allow us to enhance our clients' businesses worldwide. We guide their projects and initiatives in strategy, business transformation, IT & digital strategy, and Data Science.

Why Join The Sia Village?

Excellence Entrepreneurship Innovation Teamwork Care & Support Employee Wellbeing

These are the six core values that guide all our actions. As an expression of our values, our Sia Village 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 Partners will be enriched by a(n):

Career advocacy program that supports achieving professional development goals through guidance, and real–time feedbackContinuous learning & development opportunitiesDiversity, equity, and inclusion programs with an ever–growing list of global affinity initiatives Sia Partners is looking for a talented Senior Data Scientist to support our activities within the Data Science Business Unit. You will be working alongside our Data Science consultants and our clients on Data Science topics, including data acquisition and exploration, creating relevant data models and presenting results to stakeholders. You will also contribute to internal Data Science projects hosted onHeka , our internal accelerator for Data Science projects. As part of the global Data Science team you will contribute to the development of various solutions designed to address our clients' needs. Key ResponsibilitiesPartner with our client's leadership teams, engineers, program managers and data analysts to understand data needs.Identify, acquire, process and explore relevant data sources.Analyze large amounts of structured and unstructured information to discover trends and patterns.Use your data analytics and science expertise to derive valuable insights from datasets, build predictive models and machine–learning algorithms.Communicate at scale, through multiple mediums: presentations, dashboards, datasets, bots and more.Propose solutions and strategies to business challenges.Collaborate with engineering and product development teams.Broad range of partners equates to a broad range of projects and deliverables, including Models, algorithms, datasets, measurements, services, tools and process. Qualifications 6+ years' experience as a Data Scientist or Data AnalystExperience with building models, machine–learning, NLP4+ years' experience in R, SQL and Python4+ years' experience with data visualization tools (e.g. Tableau, PowerBi, R Shiny)Problem–solving aptitude and business acumenExcellent communication and presentation skillsBSc/BA in Data Science, Computer Science, EngineeringPreferred experience:Experience with more than one coding language.Experience in data miningGood understanding of Machine Learning techniquesGood understanding of statistical techniques and conceptsExperience with data visualization toolsExperience with Object Oriented Programming Additional information Salary + Annual Discretionary BonusHealthcare coverage that includes medical, dental, vision and life insurance policiesGenerous time offParental leave paid at 100% of base pay for all new parents regardless of genderFuture Moms Program9 Company Holidays + 1 Floating Holiday401(k) matchingCollege save–up plan & college loan repayment planMonthly cell phone stipendGym Reimbursement through firm medical planCalifornia Salary Information:

California compensation for this role is between $128,000 to $131,000 per year. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, and market location.

Work Authorization & Sponsorship

At this time, Sia Partners does not intend to pursue employment with applicants who require/will require sponsorship for work authorization in the United States (i.e., H1–B visa, F–1 visa (OPT), TN visa, or any other non–immigrant status). Applicants for employment must have work authorization that does not now or in the future require sponsorship of a visa for work authorization.

Hybrid Workplace Guidelines

Sia Partners maintains its hybrid workplace arrangements and provides a flexible workplace environment that is driven by client and business/market needs. At this time, in person requirements are issued by departments (Business Unit/Business Line) and vary by office location. Consultants are expected to have the ability to be flexible with work location depending on business needs and live within a reasonable distance to the office.

Our Commitment To Diversity

Diversity, equity, inclusion, and belonging (DEIB) are part of Sia Partners' DNA. Thanks to our expertise in several sectors and our international growth, our teams include a variety of experiences and cultures. We're confident that promoting DEIB creates an environment in which everyone can reach their full potential.

Our global network, Partners, brings together our people worldwide to facilitate local and global progress, focused on the following areas:

Gender equality (global Gender Equality Index score of 91/100 for FY19–20)LGBTQ+Working ParentsDisabilities Sia Partners 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. To learn more about our mission, values, and business sectors, please visit our website . Sia Partners 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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