Data scientists at Thoughtworks apply a deep knowledge of statistics, modeling, machine learning algorithms and data mining techniques. This is coupled with awareness of adjacent areas, to make business value and data insights visible, enabling clear and effective decision making. They are responsible for the strategy, implementation, productionization and articulation of business impact. They collaborate with cross-functional teams and communicate findings to both technical and non-technical stakeholders. They stay up-to-date with industry advancements, ensure data quality and security, and provide guidance to junior team members.
As a data scientist at Thoughtworks, you'll work on a range of projects and leverage deep technical knowledge to solve complex business problems.
Job responsibilities
- You will work collaboratively with teams/products, crafting data science and machine learning solutions that generate a big impact on customers.
- You will conduct experiments and develop hypotheses to solve business problems using advanced statistics techniques.
- You will develop and implement data science strategies that drive measurable business results.
- You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind.
- You will interact with clients from diverse domains, addressing their challenging problems.
- You will contribute to the growth and knowledge sharing within the data science community, with a focus on latest tech trends in the data science and machine learning space.
- You will address ethical concerns in data science, including privacy, bias and fairness, while adhering to ethical guidelines.
Job qualifications
- You have experience in writing clean, high-quality code using Python and SQL for datamanipulation, analysis, and visualization.
- You gather and preprocess large volumes of structured and unstructured data fromvarious sources, ensuring data quality and integrity.
- You have knowledge of algorithms, model building, and evaluation techniques.Familiarity with libraries such as Scikit-Learn and PyTorch (GenAI).
- You have skills in cleaning, transforming, and preprocessing data using tools likePandas, NumPy, and SQL.
- You are able to create insightful visualizations and can communicate the insights asper the audience using tools like Matplotlib, and Seaborn (Looker or Power BI).
- You have knowledge of using at least one public cloud (ideally GCP).
- You analyze datasets using statistical and visualization techniques to identify patterns,trends and relationships.
- You develop and implement machine learning models, algorithms and predictiveanalytics to solve specific business problems or improve existing processes.
- You evaluate model performance using appropriate metrics and validate models toensure robustness and reliability.
- You are aware of data privacy regulations and ethical standards when handling sensitive information and you have a strong understanding of statistical methods, hypothesis testing, andprobability theory.
Professional Skills
- You have strong analytical thinking and the ability to approach complex problemsmethodically.
- You are able to work in interdisciplinary teams and contribute to collaborative projects.
- You have effective communication skills to present findings and insights tonon-technical stakeholders.
- You enjoy staying updated with the latest trends, tools, and technologies in datascience.
- You understand the importance of stakeholder management and can easily liaisebetween clients and other key stakeholders throughout projects, ensuring buy-in andgaining trust along the way.
- You are resilient in ambiguous situations and can adapt your role to approachchallenges from multiple perspectives.
- You don’t shy away from risks or conflicts, instead you take them on and skillfullymanage them.
- You are eager to coach, mentor and motivate others and you aspire to influenceteammates to take positive action and accountability for their work.
- You enjoy influencing others and always advocate for technical excellence while beingopen to change when needed.
Other things to know
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.
About Thoughtworks
Thoughtworks is a global technology consultancy that integrates strategy, design and engineering to drive digital innovation. For 30+ years, our clients have trusted our autonomous teams to build solutions that look past the obvious. Here, computer science grads come together with seasoned technologists, self-taught developers, midlife career changers and more to learn from and challenge each other. Career journeys flourish with the strength of our cultivation culture, which has won numerous awards around the world.
Join Thoughtworks and thrive. Together, our extra curiosity, innovation, passion and dedication overcomes ordinary.
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What We Do
We are a leading global technology consultancy that integrates strategy, design and software engineering to enable enterprises and technology disruptors across the globe to thrive as modern digital businesses.
Why Work With Us
As technologists, we have a unique role to play in how technology should benefit all of society, pursuing a more equitable future. Part of that role is to continuously educate ourselves on the issues that matter to the causes we believe in. We recognize our privilege and strive to see the world from the perspective of the most vulnerable.
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