Manager - Global Analytics

Job Title:

Manager - Global Analytics

Job Description

We're Concentrix. A new breed of tech company — Human-centered. Tech-powered. Intelligence-fueled.
We create game-changing solutions across the enterprise, that help brands grow across the world and into the future. We are trusted by clients across all major sectors, from up-and-coming success stories to iconic Fortune Global 500 brands in over 70 countries spanning 6 continents.
Our game-changers:
Challenge Conventions
Deliver outcomes unimagined
Create experiences that go beyond WOW
If this is you, we would love to discuss career opportunities with you.
In our Information Technology and Global Security team, you will deliver the latest technology infrastructure, transformative software solutions and industry-leading global security for our staff and clients. You will work with the best in the world to design, implement and strategize IT, security, application development, innovation, and solutions in today's hyperconnected world. You will be part of the technology team that is core to our vision of develop, build and run the future of CX.
Concentrix provides eligible employees with an opportunity to enroll in many benefit programs, generally including private medical plans, great compensation package, retirement savings plans, paid learning days, and flexible workplaces. Specific benefits plans will vary by country/region.
We're a remote-first company looking for the absolute best talent in the world. Experience the power of a game-changing career.
#LI-Hybrid

You will be reporting to Sr. Consultant

• Description:We are seeking an experienced Data Scientist to join our team and drive data-driven solutions in the healthcare domain. In this role, you will leverage your expertise in data analysis, machine learning, and natural language processing to uncover insights and develop predictive models that address critical healthcare challenges.The project in which the person will be assigned is a set of Machine Learning efforts to support the current Data Science team.Skill & Experience:
  • B.A./B.S. in Computer Science, Data Science, Statistics, or a related field.
  • Strong programming skills in Python and proficiency with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
  • Hands-on experience in natural language processing (NLP) techniques, prompt engineering, and working with Large Language Models (LLMs).
  • Proven experience in data analysis, including imputation, outlier detection, validation, and generating insights from complex data sets.
  • Expertise in data preprocessing techniques, such as feature creation, data quality assessment, and missing value imputation.
  • Proficiency in machine learning techniques, including time series analysis, classification, and regression.
  • 3+ years of experience in utilizing cloud-based platforms (e.g., AWS, Azure) for building scalable data pipelines and deploying machine learning models.
  • Familiarity with AWS tools like SageMaker, Data Wrangler, and Glue is a plus.
  Desirable:
  • Master's or Doctorate in Computer Science, Data Science, Statistics, or a related field.
  • Familiarity with Healthcare domain.
  • Experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark)
  • Proficiency in additional programming languages, such as SQL, R, or Scala
• Additional Job DescriptionExpertise DesiredProgramming Languages:
  • Python (NumPy, Pandas, Scikit-learn, TensorFlow, Keras)
  • SQL (for data querying and manipulation)
  Data Processing and Manipulation:
  • Apache Spark (for big data processing)
  Data Visualization and Reporting:
  • Tableau or Power BI
  • Python libraries (Matplotlib, Seaborn, Plotly, Bokeh)
  Machine Learning and Deep Learning:
  • Scikit-learn (for classical machine learning algorithms)
  • TensorFlow or PyTorch (for deep learning)
  • XGBoost, LightGBM, or CatBoost (for gradient boosting models)
  Cloud Platforms:Amazon Web Services (AWS) (e.g., EC2, S3, SageMaker, Athena)Database Management:
  • SQL databases (e.g., PostgreSQL, MySQL, SQL Server)
  • NoSQL databases (e.g., MongoDB, Cassandra, HBase)
  Version Control and Collaboration:
  • Git (for version control)
  • GitHub or GitLab (for code hosting and collaboration)
  Containerization and Orchestration:
  • Docker (for containerization)
  • Kubernetes or Docker Swarm (for container orchestration)

Location:

IND Bangalore - Manyata Blk D4, 2nd Flr

Language Requirements:

Time Type:

Full time

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