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Minfy

Sr. Data Scientist

Early Applicant
  • Posted 5 months ago
  • Be among the first 10 applicants

Job Description

As a Data Scientist, you will play a key role in turning complex data into actionable insights that drive business decisions. You will collaborate with cross-functional teams to identify opportunities, conduct rigorous analyses, and develop scalable solutions to achieve business objectives.
Required Skills
  • 5+ years of experience in Data Science
  • Excellent knowledge and experience of Python and SQL
  • Strong interest in exploring all aspects of data and possess the ability to communicate insights effectively, while also concentrating on the technical solutions underlying them.
  • Proficient in analysing and modelling big data utilizing statistical, machine learning, and deep learning techniques.
  • Expertise in transforming ambiguous questions into impactful experiments, analysis, or models.
  • Familiarity with modelling requirements for Customer 360 and Customer Journey.
  • Experience with Machine Learning platforms (AWS Sage maker, Databricks), Data Pipelines (Spark, Airflow), CI/CD, GitHub, and visualisation (Power BI/Tableau).
  • Have a degree in a quantitative field such as Computer Science/Engineering, Mathematics, Statistics, or Economics, with an advanced degree being desirable.
  • Must have worked hand-on in the delivery of 1-2 scale projects.
  • Must understand the nuances of Software delivery.
  • Must understand and have worked on Data Engineering platforms

Job Responsibilities

  • Utilise machine learning and deep learning models to create consumer intelligence, such as Next Best Action, Behaviour Models, and Churn, for customer-centric business teams.
  • Write production level test driven code in Python and SQL.
  • Analyse large datasets to uncover insights that inform marketing and customer-centric investments.
  • Plan and execute experimentation initiatives, ensuring cross-functional alignment, robust analysis, and practical insights.
  • Develop data-driven products that provide clear insights and recommendations to non-technical audiences through visualisations and presentations.
  • Work collaboratively with product managers, senior scientists, engineers, and other team members in an agile and scrum environment to fulfil modelling needs.
Preferred :
  • Experience with deploying ML model in production.
  • Proficient knowledge of and experience with analytics, knowledge base construction, with particular focus on machine translation, and transformers.
  • Proficiency with exploratory data analysis, statistics and working with unstructured textual data.
  • Good to have, Experience with ML platforms such as Apache Spark, AWS Sage maker, Vertex AI, etc
  • Experience with programming languages (eg: Java/Python, SAS) and SQL.
  • Experience with Py Spark, and visualisation tools like Tableau, Excel, and PowerPoint.
  • Experience working in AWS cloud.
  • Knowledge of ML Ops will be an added advantage.
  • Experience working with user Behavorial analytics.
  • Knowledge of natural language processing tools such as NLTK, CoreNLP, Gensim, spaCy, OpenNLP, UIMA, GATE, etc
  • Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, PyTorch, scikit-learn, etc
  • Advanced experience in NLP, pattern recognition, predictive modeling, and evolving AI techniques.
  • Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.

More Info

Industry:Other

Function:Data Science

Job Type:Permanent Job

Date Posted: 28/07/2024

Job ID: 86722173

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