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a leading data & analytics intelligence technology solutions provider to companies that value insights from information as a competitive advantage logo
Data Science - Manager / Lead
a leading data & analytics intelligence technology solutions provider to companies that value insights from information as a competitive advantage
Data Science - Manager / Lead
a leading data & analytics intelligence technology solutions provider to companies that value insights from information as a competitive advantage's logo

Data Science - Manager / Lead

at a leading data & analytics intelligence technology solutions provider to companies that value insights from information as a competitive advantage

Agency job
via HyrHub
7 - 10 yrs
₹10L - ₹30L / yr
Bengaluru (Bangalore)
Skills
skill iconData Science
skill iconMachine Learning (ML)
MLOps
skill iconPython
PySpark

What are we looking for?

  • Bachelor’s degree in analytics related area (Data Science, Computer Engineering, Computer Science, Information Systems, Engineering, or a related discipline)
  • 7+ years of work experience in data science, analytics, engineering, or product management for a diverse range of projects
  • Hands on experience with python, deploying ML models
  • Hands on experience with time-wise tracking of model performance, and diagnosis of data/model drift
  • Familiarity with Dataiku, or other data-science-enabling tools (Sagemaker, etc)
  • Demonstrated familiarity with distributed computing frameworks (snowpark, pyspark)
  • Experience working with various types of data (structured / unstructured)
  • Deep understanding of all data science phases (eg. Data engineering, EDA, Machine Learning, MLOps, Serving)
  • Highly self-motivated to deliver both independently and with strong team collaboration
  • Ability to creatively take on new challenges and work outside comfort zone
  • Strong English communication skills (written & verbal)


Roles & Responsibilities:

  • Clearly articulates expectations, capabilities, and action plans; actively listens with others’ frame of reference in mind; appropriately shares information with team; favorably influences people without direct authority
  • Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; drives implementation of recommendations when appropriate, engages with stakeholders throughout to ensure buy-in
  • Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork; comfortable providing guidance and sharing expertise with others to help them develop their skills and perform at their best; helps others take appropriate risks; communicates frequently with team members earning respect and trust of the team
  • Experience in translating business priorities and vision into product/platform thinking, set clear directives to a group of team members with diverse skillsets, while providing functional & technical guidance and SME support
  • Demonstrated experience interfacing with internal and external teams to develop innovative data science solutions
  • Strong business analysis, product design, and product management skills
  • Ability to work in a collaborative environment - reviewing peers' code, contributing to problem- solving sessions, ability to communicate technical knowledge to a a variety of audience (such as management, brand teams, data engineering teams, etc.)
  • Ability to articulate model performance to a non-technical crowd, and ability to select appropriate evaluation criteria to evaluate hidden confounders and biases within a model
  • MLOps frameworks and their use in model tracking and deployment, and automating the model serving pipeline
  • Work with all sizes of ML model from linear/logistic regression to other sklearn-like models, to deep learning
  • Formulate training schema for unbiased model training e.g. K-fold cross-validation, leave-one- out cross-validation) for parameter searching and model tuning
  • Ability to work on machine learning work like recommender systems, end-to-end ML lifecycle)
  • Ability to manage ML on largely imbalanced training sets (<5% positive rate)
  • Ability to articulate model performance to a non-technical crowd, and ability to select appropriate evaluation criteria to evaluate hidden confounders and biases within a model
  • MLOps frameworks and their use in model tracking and deployment, and automating the model serving pipeline
Read more
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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