Data science specialist

The Data Science team at skillsbridge is at the forefront of innovation, leveraging AI and machine learning to transform skill assessment, career development, and talent management. We build intelligent solutions that empower individuals and organizations to bridge the skills gap and achieve their full potential. We're looking for: • Data Analysis & Interpretation – Analyze complex datasets to extract meaningful insights and actionable recommendations. Your work will drive improvements to our skill assessment algorithms and career development tools. o Conduct exploratory data analysis to identify trends, patterns, and anomalies. o Translate findings into clear, concise reports and presentations for stakeholders. • Machine Learning Model Development – Design, develop, and deploy machine learning models for skill prediction, personalized learning recommendations, and intelligent matchmaking. o Experiment with various algorithms and techniques to optimize model performance. o Maintain and improve existing models through continuous monitoring and retraining. • Clustering and Segmentation – Apply clustering techniques to segment users based on skills, career goals, and learning preferences. These segments will inform personalized experiences and targeted interventions. o Utilize K-Means and other clustering methods to create meaningful user segments. o Evaluate segment quality and refine clustering parameters to improve accuracy. • Embedding and Similarity Analysis – Create and utilize embeddings to measure the similarity between skills, jobs, and learning resources. This enables us to provide relevant recommendations and improve search functionality. o Implement and evaluate different embedding techniques, such as word embeddings or graph embeddings. o Develop similarity metrics based on embeddings to identify related items. • Statistical Modeling and Analysis – Apply statistical techniques to analyze data, test hypotheses, and validate model performance. A strong understanding of statistical principles is essential for ensuring the reliability of our insights. o Perform hypothesis testing to evaluate the statistical significance of findings. o Develop statistical models to predict future trends and outcomes. • Data Preprocessing and Feature Engineering – Clean, transform, and prepare data for analysis and modeling. Effective data preprocessing is critical for achieving accurate and reliable results. o Handle missing values, outliers, and inconsistencies in datasets. o Create new features from existing data to improve model performance. • Collaboration and Communication – Work closely with engineers, product managers, and other stakeholders to define requirements, design solutions, and communicate results. o Participate in cross-functional team meetings to share progress and gather feedback. o Document your work clearly and thoroughly. • Model Training and Evaluation – Train machine learning models using large datasets, and evaluate their performance using appropriate metrics. Rigorous evaluation is essential for ensuring the quality and reliability of our models. o Implement cross-validation techniques to assess model generalization performance. o Analyze model errors and identify areas for improvement. • Staying Current – Keep up-to-date with the latest advancements in data science, machine learning, and AI. o Read research papers, attend conferences, and participate in online communities. o Experiment with new tools and techniques to enhance your skills and knowledge. It'll be helpful if you have: • 3-5 years of experience as a Data Scientist or similar role. • Strong programming skills in Python, including experience with libraries such as scikit-learn, Tensor Flow, and Py Torch. • Solid understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning techniques. • Experience with clustering, embedding, similarity analysis, and segmentation analytics. • Proficiency in statistical science, including K-Means, Cosine Similarity, and other relevant methods. • Experience working with large datasets and distributed computing environments. • Excellent communication and presentation skills, with the ability to explain complex concepts to technical and non-technical audiences. • A Master's or Ph. D. degree in Computer Science, Statistics, Mathematics, or a related field. • Experience with cloud computing platforms such as AWS, Azure, or GCP. • A strong portfolio of data science projects demonstrating your skills and experience. you can reach out to rakesh dot agrawal at skillsbridge dot ai Our Purpose: skillsbridge connects job seekers, professionals, and companies, building a bridge to opportunity through AI-driven skill assessment, career development, and talent management. We empower individuals to enhance their skills, achieve job readiness, and connect with potential employers through intelligent matchmaking. For organizations, we deliver talent screening, upskilling programs, and workforce analytics to improve hiring and employee development processes. At skillsbridge, we believe in the power of skills to transform lives and drive economic growth. Our Core Values: Innovation Drives Us We are committed to pushing the boundaries of what’s possible in AI- driven skill assessment and career development. We constantly seek new and better ways to leverage technology to empower individuals and organizations. Impact Matters We are driven by the desire to make a meaningful difference in the lives of our users and the success of our clients. We measure our success by the positive impact we have on the world. Collaboration is Key We believe that the best results are achieved through teamwork and open communication. We foster a culture of collaboration, where everyone is encouraged to share their ideas and contribute their unique skills. Integrity Guides Us We are committed to the highest standards of ethical conduct and transparency. We build trust with our users, clients, and partners by always doing the right thing. Growth Mindset We embrace challenges as opportunities to learn and grow. We are constantly seeking new knowledge and skills, and we encourage our employees to do the same. Diversity & Inclusion We celebrate diversity and are committed to creating an inclusive environment where everyone feels valued and respected. We believe that diverse perspectives make us stronger and more innovative. Legal Notices: Company Website Link: e.g., Disclaimer: This job description is provided for illustrative and demonstration purposes only. It was generated using artificial intelligence technology. As an AI-generated document, it may not fully reflect current industry standards, specific organizational needs, or human expertise. Users are encouraged to independently verify the accuracy and applicability of this job description to their specific situation before relying on it for any decisions. The information contained herein is not intended to be, and should not be construed as legal, financial, or professional advice. This document does not create any binding agreement or obligation between parties. Skills Bridge. AI disclaims all liability for any errors, omissions, inaccuracies, or potential biases in this document. Any reliance you place on such information is strictly at your own risk. Unauthorized use, disclosure, or distribution is strictly prohibited.