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Expert Data Scientist

Expert Data Scientist

CiklumPune, India
30+ days ago
Job description

Description

Ciklum is looking for an Expert Data Scientist to join our team full-time in India.

We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.

About the role :

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

Requirements

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 (., Python libraries such as Matplotlib, Seaborn, Plotly, 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 (., 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 (., 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 (., Hadoop, Apache Spark)
  • Familiarity with NoSQL databases (., 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

    • Desirable

  • Research experience with peer-reviewed publications
  • Recognized achievements in data science competitions, such as Kaggle
  • Certifications in cloud-based machine learning services (AWS, Azure, GCP)

    • What's in it for you

  • Care : your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, as well 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
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