Thoughtworks

Principal Data Scientist

Thoughtworks$182K — $320K *
Retail & Consumer Goods
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience in the Retail and Customer Analytics industry.
  • Defined strategy/vision for data science functions aligning with business strategy.
  • Proven track record in leading data analysis, modeling, and deploying models.
  • Experience in statistical modeling, machine learning, and deep learning techniques.
  • Specialization in areas of AI such as NLP, computer vision, or Generative AI.
  • Proficiency in R, Python, or equivalent tools for production-ready code.
  • Ability to gather and preprocess large volumes of data ensuring quality and integrity.

Responsibilities

  • Establish a vision for AI practices aligned with business strategy.
  • Collaborate with executive stakeholders to leverage data quality for AI initiatives.
  • Design AI systems, framing problems, and managing associated risks.
  • Prioritize and ensure timely completion of data science projects aligned with business goals.
  • Design experiments to test ideas and guide future actions.
  • Engage in data science delivery as needed across projects.
  • Communicate technical insights effectively to non-technical stakeholders.
  • Promote a culture of data literacy and oversee the growth of the data science community.

Benefits

  • Career development supported by interactive tools and numerous programs.
  • Emphasis on autonomy in career paths within a strong cultivation culture.
  • Commitment to fairness and responsible use of AI in recruitment processes.
Full Job Description
As a data scientist at Thoughtworks, you'll leverage your deep technical knowledge to solve complex business problems, making a significant impact on client success.

Job responsibilities

  • You will establish a clear vision and direction for the AI paradigm/practices, aligning it with the overall business strategy.
  • You will collaborate with executive level stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning.
  • You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues.
  • You will identify and prioritize data science projects that align with business objectives and ensure that projects are completed on time and within budget.
  • You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action.
  • You will get involved with data science delivery whenever needed.
  • You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind.
  • You will build and drive the growth of the data science community along with promoting a culture of data literacy within the organization.
  • You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility).
  • You will work with CD4ML practices and data versioning tools.

Job qualifications

Technical Skills

  • You have experience in the Retail and Customer Analytics industry.
  • You have experience with defining strategy/vision for the data science function, aligning it with the overall business strategy.
  • You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models.
  • You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects.
  • You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc).
  • You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test.
  • You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity.
  • You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes.
  • You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability.
  • You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations.

Professional Skills

  • You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way.
  • You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives.
  • You don't shy away from risks or conflicts, instead you take them on and skillfully manage them.
  • You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work.
  • You enjoy influencing others and always advocate for technical excellence while being open to change when needed.
  • You are a proven leader with a track record of encouraging teammates in their professional development and relationships.
  • Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business.


Other things to know

Learning & Development

There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

Responsible Use of AI in Recruitment

At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.

Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.

We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.

Cancellations

As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change

Salary

Benefits: https://www.thoughtworks.com/en-ca/careers/benefits

Salary

$182,000-$320,000 USD

See here our AI policy.

About Thoughtworks

Thoughtworks is a global technology consultancy that provides software design and delivery, and helps clients navigate digital transformation. The company was founded in 1993 in Chicago, and has since grown to have over 40 offices in 17 countries. Thoughtworks is known for its Agile software development methodology, and has worked with clients in a variety of industries, including finance, healthcare, and retail.
Learn more about Thoughtworks
Size
10,000 employees
Market Cap
$3.3 billion
Industry
Founded
1993
NASDAQ

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