Expert Data Scientist

Role Overview: Ciklum is seeking an Expert Data Scientist to join their team in India. As a custom product engineering company, Ciklum works with multinational organizations and scaling startups to address complex business challenges. With a global team of over 4,000 highly skilled professionals, including developers, consultants, analysts, and product owners, Ciklum focuses on engineering technology that reshapes industries and improves people's lives. Key Responsibilities: - Develop prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics for supporting analytic insights and visualization of complex data sets. - Conduct exploratory data analysis to navigate datasets and draw broad conclusions based on initial assessments. - Provide optimization recommendations to drive key performance indicators (KPIs) set by product, marketing, operations, PR teams, and others. - Collaborate with engineering teams to ensure solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability. - Work closely with business analysts and data engineers to understand and support their use cases. - Identify opportunities for leveraging company data to drive business solutions in collaboration with stakeholders across the organization. - Drive innovation by exploring new experimentation methods and statistical techniques to enhance product decision-making processes. - Train other team members on developing technologies and continuously acquire knowledge of new technologies from peers. Qualifications Required: - Bachelor's, Master's, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics, or related fields. - Strong knowledge of Probability Theory, Statistics, and Mathematics underlying Machine Learning. - Proficiency in CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science solutions. - Hands-on experience with various machine learning techniques such as Regression, Classification, Clustering, and Dimensionality reduction. - Proficiency in Python for developing machine learning models and conducting statistical analyses. - Familiarity with data visualization tools and techniques like Python libraries (e.g., Matplotlib, Seaborn, Plotly) for effective data presentation. - Proficiency in SQL for data processing, manipulation, sampling, and reporting. - Experience with imbalanced datasets, time series data, outlier detection, anomaly detection, and working with various data types (text, image, video data). - Familiarity with AI/ML cloud implementations (AWS, Azure, GCP) and cloud-based AI/ML services. - Domain experience in analyzing medical signals and images, building predictive models for patient outcomes, and extracting insights from clinical data. (Note: Additional details about the company were not included in the job description provided.) Role Overview: Ciklum is seeking an Expert Data Scientist to join their team in India. As a custom product engineering company, Ciklum works with multinational organizations and scaling startups to address complex business challenges. With a global team of over 4,000 highly skilled professionals, including developers, consultants, analysts, and product owners, Ciklum focuses on engineering technology that reshapes industries and improves people's lives. Key Responsibilities: - Develop prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics for supporting analytic insights and visualization of complex data sets. - Conduct exploratory data analysis to navigate datasets and draw broad conclusions based on initial assessments. - Provide optimization recommendations to drive key performance indicators (KPIs) set by product, marketing, operations, PR teams, and others. - Collaborate with engineering teams to ensure solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability. - Work closely with business analysts and data engineers to understand and support their use cases. - Identify opportunities for leveraging company data to drive business solutions in collaboration with stakeholders across the organization. - Drive innovation by exploring new experimentation methods and statistical techniques to enhance product decision-making processes. - Train other team members on developing technologies and continuously acquire knowledge of new technologies from peers. Qualifications Required: - Bachelor's, Master's, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics, or related fields. - Strong knowledge of Probability Theory, Statistics, and Mathematics underlying Machine Learning. - Proficiency in CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science solutions. - Hands-on experience with various machine learn