- 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
- Partner 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.
- 4+ years' experience as a Data Scientist or Data Analyst
- Experience with building models, machine-learning, NLP
- 4+ years' experience in R, SQL and Python
- 4+ years' experience with data visualization tools (e.g. Tableau, PowerBi, R Shiny)
- Problem-solving aptitude and business acumen
- Excellent communication and presentation skills
- BSc/BA in Data Science, Computer Science, Engineering
- Experience with more than one coding language.
- Experience in data mining
- Good understanding of Machine Learning techniques
- Good understanding of statistical techniques and concepts
- Experience with data visualization tools
- Experience with Object Oriented Programming
- Salary + Annual Discretionary 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
- Future Moms Program
- 9 Company Holidays + 1 Floating Holiday
- 401(k) matching
- College save-up plan & college loan repayment plan
- Monthly cell phone stipend
- Commuter Benefits
- Gym Reimbursement through firm medical plan
- Gender equality (global Gender Equality Index score of 91/100 for FY19-20)
- LGBTQ+
- Race & Ethnicity
- Working Parents
- Disabilities
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Data Science Consultant - New York, United States - Sia Partners
Description
Job Description
Job DescriptionCompany DescriptionSia Partners is a next-generation management consulting firm. We offer a unique blend of AI and design capabilities, augmenting traditional consulting to deliver superior value to our clients. Counting 3,000 consultants in 19 countries, we expect to achieve USD 420 million in turnover for the current fiscal year. With a global footprint and expertise in more than 30 sectors and services, we optimize client projects worldwide. Through our Consulting for Good approach, we strive for next-level impact by developing innovative CSR solutions for our clients, making sustainability a lever for profitable transformation.
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):
Sia Partners is looking for a talented 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 on Heka, 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 Responsibilities
Preferred experience:
Compensation & Benefits
New York Compensation Info:
New York compensation for this role is between $90,000 and $116,000 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 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).
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:
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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