Data Scientist Consultant

denkstatt и EY•Los Angeles, CA

About The Position

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity The Data Scientist will be responsible for structuring the research question, determining the best analytical approach, conducting analyses, identifying business-relevant insights, and creating a compelling story to be communicated to key stakeholders and talent executive leadership. The person will have expertise in data science, with a strong focus on techniques related to text analytics, clustering, time series analysis, multivariate regression, basic predictive modelling, and significance testing. Essential Functions: Utilize data science to conduct research on business topics relevant for digital insights team. Use quantitative and qualitative methods to identify new insights on important issues for digital talent team and wider Talent & SL functional teams. Identify creative approaches to answer research questions. Use your understanding of what is possible with data science to brainstorm creative analytical solutions to test. Rapidly test potential approaches. Stand-up simple analyses to demonstrate what’s possible and test feasibility. Co-develop research plan. Work closely with other Digital team members and business stakeholders to help shape the research approach and potential output. Collect and clean data. Identify relevant data sources (internal and external) and program or leverage existing tools to acquire the data (e.g. SQL, APIs, scrapers, etc.) and test quality. Continuous improvement and creation of predictive modelling taking new levers and environmental factors into account. Work on strategic and operational workforce planning modelling to enable short-term and long-term planning looking at the impact of offshore, automation, and skills while optimising the cost model. Generate innovative analytical ideas by staying up to date on latest tools and methodologies. Provide subject matter expertise on key domain-related topics such as advanced excel, SQL, machine learning, natural language processing, text sentiment analysis, mathematics, statistics etc. Enable the best-fit implementation approach leveraging the core and evolving skills in the domain of data analytics, e.g., machine learning, natural language processing, text sentiment analysis. Champion the value of analytics and data-driven approach across Talent and provide thought leadership as required on the complete cycle of talent analytics. Design data & insights model to cater to data visualization and be accountable for provision of advanced and predictive analytics to deliver robust analyses and support the delivery of insights to the Talent Executive teams. Perform analyses. Independently conduct rigorous statistical analyses in Python or R. Most research projects will utilize quantitative modelling, statistics, or machine learning (especially text analytics). Identify insights and communicate findings. Create a compelling story that articulates key insights to non-technical audiences through PowerPoint and/or Business Intelligence Platforms (e.g. PowerBI) Analytical/Decision Making Responsibilities: Uses scientific methods and technologies to analyse data, develop models and deliver solutions to the business. Data modeling and Management, integration and manipulation of large disparate datasets (i.e. structured, semi-structured or unstructured) Translate complex analytical results into actionable recommendations.

Requirements

Experience applying a broad range of data science techniques. Key areas include text analytics, clustering, time series analysis, multivariate regression, predictive modelling, and significance testing.
Demonstrable understanding of statistics and mathematical concepts relevant to data science.
Experience with data wrangling, cleansing, and data engineering for data science applications.
Experience in Advanced Data Visualization tools, such as Tableau, Spotfire, Qlikview and others for integration between disparate data sources, design and implementation of KPIs and generation of automatic and scalable visualizations that will facilitate extraction of business insights.
Ability to participate effectively in virtual teams and networks across diverse and dispersed geographies.
Strong teaming skills; collaborate effectively across talent ecosystem, within the digital team and the firm at-large.
Strong communication skills for sharing thought leadership across EY and externally to enhance EY reputation.
Strong organizational skills and attention to detail - the ability to operate within budget and effective time frames.
Strong research and analytical skills to track and interpret trending directions for data analytics and also to identify potential future options.
Ability to cope with ambiguity; to drive change and performance outcomes in a complex and agile environment.
Work closely with the Leads across the Digital and wider Talent Functions to ensure the provision of services that support business and functional delivery.
Develop digital capabilities, define key digital competencies for the team, and ensure provision of learning to advance skills
Independently maintain and leverage (when appropriate) an internal network, including effective partnerships with senior stakeholders, across EY practices / functions that will enable personal effectiveness in the position
Due to global nature of the role; travel and willingness to work alternative hours will be required.
Due to global nature of the role; English language skills - excellent written and verbal communication will be required
Educated to degree level
Significant experience in a closely related Data analytics / data / insights driven role.
Experience of developing and implementing operational standards and processes to achieve required outcomes.
Experience of having worked on digital analytics design / process or analytical planning and development initiatives.
Experience of developing digital capability, defining key digital competencies for the team, and ensuring provision of learning to advance skills.
Demonstrable experience of collaborating with talent colleagues to understand needs / requirements and of shaping digital solutions.
Demonstrable experience of working with third party vendors / external system implementors to deliver reporting, insights and analytical solutions from design to enablement.
Experience of leading and participating in global dispersed teams to enhance services, processes, and standards.
Demonstrable experience of working in fast-paced, ambiguous, stressful environments to deliver required results.
Demonstrable experience of anticipating issues and challenges and proactively working to navigate challenges.
Experience of conducting internal and external research and analysis, providing best practices and insights to drive improvements.
Demonstrable experience of having worked to lead or provide SMR advice to achieve successful change outcomes

Nice To Haves

Higher professional or masters qualification is preferred, not required
Higher professional or masters qualification in a related discipline is preferred, not required
Active membership in related professional bodies or industry groups is preferred, not required

Responsibilities

Utilize data science to conduct research on business topics relevant for digital insights team.
Use quantitative and qualitative methods to identify new insights on important issues for digital talent team and wider Talent & SL functional teams.
Identify creative approaches to answer research questions.
Use your understanding of what is possible with data science to brainstorm creative analytical solutions to test.
Rapidly test potential approaches.
Stand-up simple analyses to demonstrate what’s possible and test feasibility.
Co-develop research plan.
Work closely with other Digital team members and business stakeholders to help shape the research approach and potential output.
Collect and clean data.
Identify relevant data sources (internal and external) and program or leverage existing tools to acquire the data (e.g. SQL, APIs, scrapers, etc.) and test quality.
Continuous improvement and creation of predictive modelling taking new levers and environmental factors into account.
Work on strategic and operational workforce planning modelling to enable short-term and long-term planning looking at the impact of offshore, automation, and skills while optimising the cost model.
Generate innovative analytical ideas by staying up to date on latest tools and methodologies.
Provide subject matter expertise on key domain-related topics such as advanced excel, SQL, machine learning, natural language processing, text sentiment analysis, mathematics, statistics etc.
Enable the best-fit implementation approach leveraging the core and evolving skills in the domain of data analytics, e.g., machine learning, natural language processing, text sentiment analysis.
Champion the value of analytics and data-driven approach across Talent and provide thought leadership as required on the complete cycle of talent analytics.
Design data & insights model to cater to data visualization and be accountable for provision of advanced and predictive analytics to deliver robust analyses and support the delivery of insights to the Talent Executive teams.
Perform analyses.
Independently conduct rigorous statistical analyses in Python or R. Most research projects will utilize quantitative modelling, statistics, or machine learning (especially text analytics).
Identify insights and communicate findings.
Create a compelling story that articulates key insights to non-technical audiences through PowerPoint and/or Business Intelligence Platforms (e.g. PowerBI)
Uses scientific methods and technologies to analyse data, develop models and deliver solutions to the business.
Data modeling and Management, integration and manipulation of large disparate datasets (i.e. structured, semi-structured or unstructured)
Translate complex analytical results into actionable recommendations.

Benefits

We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business.
The base salary range for this job in all geographic locations in the US is $125,900 to $235,500.
The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $151,100 to $267,600.
Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography.
In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

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