Expert Data Scientist
- Ciklum
- 1 - 3 years
- Chennai
- 7 days ago
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Job Description
As an Expert Data Scientist, become a part of a cross-functional development team engineering experiences of tomorrow.
Responsibilities- Development of prototype solutions, mathematical models, algorithms, machine learning techniques, and robust analytics to support analytic insights and visualization of complex data sets
- Work on exploratory data analysis so you can navigate a dataset and come out with broad conclusions based on initial appraisals
- Provide optimization recommendations that drive KPIs established by product, marketing, operations, PR teams, and others
- Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability.
- Work directly with business analysts and data engineers to understand and support their use cases
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Drive innovation by exploring new experimentation methods and statistical techniques that could sharpen or speed up our product decision-making processes
- Cross-train other team members on technologies being developed, while also continuously learning new technologies from other team members.
- Contribute to the Unit activities and community building, participate in conferences, and provide excellence in exercise and best practices.
- Support marketing & sales activities, customer meetings and digital services through direct support for sales opportunities & providing thought leadership & content creation for the service.
We know that sometimes, you can t tick every box. We would still love to hear from you if you think you're a good fit!
General technical requirements
- BSc, MSc, or PhD in Mathematics, Statistics, Computer Science, Engineering, Operations Research, Econometrics, or related fields
- Strong knowledge of Probability Theory, Statistics, and a deep understanding of the Mathematics behind Machine Learning
- Proficiency with CRISP-ML(Q) or TDSP methodologies for addressing commercial problems through data science solutions
- Hands-on experience with various machine learning techniques, including but not limited to:
- Regression
- Classification
- Clustering
- Dimensionality reduction
- Proficiency in Python for developing machine learning models and conducting statistical analyses
- Strong understanding of data visualization tools and techniques (e. g. , Python libraries such as Matplotlib, Seaborn, Plotly, etc ) and the ability to present data effectively
Specific technical requirements:
- Proficiency in SQL for data processing, data manipulation, sampling, and reporting
- Experience working with imbalanced datasets and applying appropriate techniques
- Experience with time series data, including preprocessing, feature engineering, and forecasting
- Experience with outlier detection and anomaly detection
- Experience working with various data types: text, image, and video data
- Familiarity with AI/ML cloud implementations (AWS, Azure, GCP) and cloud-based AI/ML services (e. g. , Amazon SageMaker, Azure ML)
Domain experience:
- Experience with analyzing medical signals and images
- Expertise in building predictive models for patient outcomes, disease progression, readmissions, and population health risks
- Experience in extracting insights from clinical notes, medical literature, and patient-reported data using NLP and text mining techniques
- Familiarity with survival or time-to-event analysis
- Expertise in designing and analyzing data from clinical trials or research studies
- Experience in identifying causal relationships between treatments and outcomes, such as propensity score matching or instrumental variable techniques
- Understanding of healthcare regulations and standards like HIPAA, GDPR (for healthcare data), and FDA regulations for medical devices and AI in healthcare
- Expertise in handling sensitive healthcare data in a secure, compliant way, understanding the complexities of patient consent, de-identification, and data sharing
- Familiarity with decentralized data models such as federated learning to build models without transferring patient data across institutions
- Knowledge of interoperability standards such as HL7, SNOMED, FHIR, or DICOM
- Ability to work with clinicians, researchers, health administrators, and policy makers to understand problems and translate data into actionable healthcare insights
Good to have skills:
- Experience with MLOps, including integration of machine learning pipelines into production environments, Docker, and containerization/orchestration (e. g. , Kubernetes)
- Experience in deep learning development using TensorFlow or PyTorch libraries
- Experience with Large Language Models (LLMs) and Generative AI applications
- Advanced SQL proficiency, with experience in MS SQL Server or PostgreSQL
- Familiarity with platforms like Databricks and Snowflake for data engineering and analytics
- Experience working with Big Data technologies (e. g. , Hadoop, Apache Spark)
- Familiarity with NoSQL databases (e. g. , columnar or graph databases like Cassandra, Neo4j)
Business-related requirements:
- Proven experience in developing data science solutions that drive measurable business impact, with a strong track record of end-to-end project execution
- Ability to effectively translate business problems into data science problems and create solutions from scratch using machine learning and statistical methods
- Excellent project management and time management skills, with the ability to manage complex, detailed work and effectively communicate progress and results to stakeholders at all levels
- Research experience with peer-reviewe'd publications
- Recognized achievements in data science competitions, such as Kaggle
- Certifications in cloud-based machine learning services (AWS, Azure, GCP)
- Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as we'll as financial and legal consultation
- Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy licence, language courses and company-paid certifications
- Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally
- Flexibility: hybrid work mode at Chennai or Pune
- Opportunities: we value our specialists and always find the best options for them. Our Resourcing Team helps change a project if needed to help you grow, excel professionally and fulfil your potential
- Global impact: work on large-scale projects that redefine industries with international and fast-growing clients
- Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Full Stack Data ScientistEmployement Type: Full timeContact Details:
Company: CiklumLocation(s): Chennai+ View Contact
Keyskills: Data analysis Operations research Project management HIPAA Clinical trials Healthcare Business solutions Econometrics Forecasting
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Ciklum is a leading global digital services and software engineering company, serving Fortune 500 and fast-growing organisations. Headquartered in the UK, we unite 4000+ software developers, designers, product managers and data scientists around the world building tailored digital solutions that l...
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