The successful candidate will possess strong analytical skills, a natural curiosity, and the ability to collaborate effectively, with a proven track record in delivering comprehensive data science projects from start to finish, encompassing model deployment, experimentation, and performance assessment.
As a Data Scientist, your responsibilities will encompass the following key tasks:
Responsibilities include overseeing the complete lifecycle of data science initiatives, beginning with the acquisition and preparation of datasets, progressing through advanced modeling techniques, and culminating in the implementation and deployment of predictive solutions.
Design, develop, and oversee sophisticated machine learning models encompassing regression, clustering, anomaly detection, and natural language processing applications.
Craft efficient SQL queries to retrieve, transform, and evaluate extensive datasets.
Convert intricate data findings into clear, implementable strategies tailored to both technical and non-technical audiences.
Partner with diverse teams across departments to establish precise data specifications and deploy robust, scalable analytical solutions.
Monitor model efficacy, execute comparative analyses through A/B testing methodologies, and deploy systematic enhancements to ensure sustained accuracy and dependability.
To document methodologies, workflows, and data dictionaries, ensuring reproducibility and fostering knowledge sharing throughout the organization.
Mentor junior data scientists by providing guidance, fostering technical excellence, and instilling industry best practices to support their professional growth and development.
Requirements
A Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a closely related field is required.
Requires a minimum of four to five years of hands-on experience in data science, analytics, or machine learning, with a proven track record in deploying models into production environments.
Proficiency in at least two specialized domains within data science, coupled with the capacity to oversee projects comprehensively—spanning technical execution to final stakeholder delivery—is essential.
Demonstrates advanced expertise in Python or R, leveraging these languages for sophisticated data manipulation, machine learning model development, and natural language processing tasks.
Proficient in advanced SQL techniques for extracting, transforming, and analyzing data at scale with precision and efficiency.
Proficiency in regression techniques, clustering methods, anomaly detection algorithms, natural language processing (NLP), and the design and execution of experiments or A/B tests is required.
Proficient in machine learning frameworks such as scikit-learn, TensorFlow, and PyTorch, with expertise in data visualization tools including Tableau, Power BI, Matplotlib, and seaborne.
Demonstrates a robust grasp of statistical principles, including hypothesis testing and experimental design methodologies.
Effective communication and teamwork abilities are essential to engage and align both technical and non-technical stakeholders.
Demonstrates a strong track record in coaching junior employees and guiding project initiatives that yield tangible business outcomes.
To apply, submit your application through the specified method. Ensure all required documents and details are included as outlined in the application instructions. Follow the provided steps carefully to complete the submission process accurately and efficiently.
To initiate your application, please utilize the provided link(s) on the company’s official website.
Qualifications
BA/BSc/HND , MBA/MSc/MA
Experience Required
4 - 5 years
