ESG& is seeking a talented and passionate Data Scientist to join our TIL (Technology Innovation Lab) team. As a Data Scientist, you will play a critical role in leveraging data to uncover insights, drive informed decision-making, and develop innovative solutions that contribute to the advancement of sustainability practices globally. You will work closely with cross-functional teams to analyze complex datasets, build predictive models, and provide actionable recommendations.
- Work closely with stakeholders to understand business objectives and translate them into data-driven solutions.
- Conduct exploratory data analysis, data preprocessing, and feature engineering to prepare data for modeling.
- Develop and implement statistical and machine learning models to extract insights from large and complex datasets.
- Collaborate with cross-functional teams, including engineering and product development, to deploy data-driven solutions into ESG&’s technology platforms.
- Apply advanced analytical techniques to solve complex problems related to sustainability, ESG metrics, and environmental impact assessment.
- Continuously monitor and evaluate model performance, making improvements and adjustments as necessary.
- Communicate findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports, and presentations.
- Stay up to date with the latest trends and advancements in data science and sustainability to bring innovative ideas and approaches to the team.
- Master’s or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field.
- 7+ years of professional experience as a Data Scientist, applying statistical and machine learning techniques to real-world problems.
- Strong programming skills in languages such as Python or R, along with proficiency in data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
- Experience with data visualization tools (e.g., Tableau, Power BI) to effectively communicate insights and findings.
- Solid understanding of statistical modeling, regression analysis, clustering, classification, and other machine learning algorithms.
- Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
- Knowledge of sustainability, ESG principles, and related reporting frameworks (e.g., GRI, SASB) is highly desirable.
- Strong problem-solving skills, critical thinking abilities, and a passion for leveraging data to drive positive change.
- Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented, fast-paced environment.
Join our dynamic and innovative team at ESG& and be part of a mission-driven organization that is at the forefront of sustainability and ESG technology. Together, we can shape a more sustainable future.
To apply, please submit your resume, cover letter, and any relevant work samples or portfolio to [email protected]. We look forward to hearing from you and exploring how your expertise can contribute to our vision of a more sustainable world.
Note: This job description is intended to convey essential job responsibilities and requirements. It is not intended to be an exhaustive list of qualifications, skills, efforts, duties, or responsibilities associated with the position.