Data Scientist
4 days ago
This role is for one of the Weekday's clients
Min Experience: 3 years
JobType: full-time
We are seeking a highly motivated and detail-oriented Data Scientist with 3–7 years of experience to join our team. In this role, you will be responsible for leveraging data-driven approaches to deliver actionable insights, build predictive models, and contribute to data-informed decision-making. You will collaborate with cross-functional teams—including product, engineering, marketing, and business stakeholders—to identify opportunities where data can drive value, optimize business outcomes, and support strategic growth.
Key Responsibilities
- Collect, clean, and analyze large and complex datasets to identify patterns, trends, and insights that inform business decisions.
- Design, develop, and implement machine learning models, algorithms, and statistical techniques to solve real-world business problems.
- Collaborate with stakeholders to translate business requirements into well-defined analytical solutions.
- Create and maintain dashboards, reports, and visualizations that make insights easily understandable for non-technical stakeholders.
- Perform exploratory data analysis (EDA) to generate hypotheses, test assumptions, and guide further analysis.
- Continuously evaluate model performance and improve accuracy, scalability, and efficiency.
- Partner with data engineering teams to ensure robust data pipelines and infrastructure for analytics and machine learning.
- Communicate complex results in a clear and concise manner, tailoring the message for technical and non-technical audiences.
- Stay updated with the latest advancements in machine learning, AI, and data science to bring innovative techniques to the organization.
Required Skills and Qualifications
- 3–7 years of proven experience as a Data Scientist, preferably in a product-based or fast-paced environment.
- Strong expertise in Python or R for data analysis, modeling, and scripting.
- Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
- Proficiency in SQL and working with relational as well as non-relational databases.
- Strong statistical knowledge and experience applying hypothesis testing, regression, time-series forecasting, clustering, classification, and other advanced techniques.
- Experience in building, deploying, and monitoring machine learning models in production environments.
- Ability to design and deliver data visualizations using tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn, Plotly).
- Familiarity with big data platforms such as Spark, Hadoop, or cloud-based solutions (AWS, GCP, or Azure) is a plus.
- Excellent problem-solving skills with the ability to translate complex data into actionable strategies.
- Strong communication and collaboration skills, with the ability to work effectively with diverse teams.
Preferred Qualifications
- Exposure to Natural Language Processing (NLP), computer vision, or recommendation systems.
- Experience with MLOps practices, version control (Git), and CI/CD pipelines for machine learning workflows.
- Background in mathematics, statistics, computer science, data engineering, or a related field.
- Experience in experimentation design, A/B testing, and causal inference.
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