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

HyrHub

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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

Data Science

Machine Learning (ML)

MLOps

Python

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

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

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Software Engineer, Memorres

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Job Description

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4. Strong expertise in HTML5, CSS3, Javascript/Jquery with thorough experience of developing responsive layouts for desktop, tablet, and mobile devices.
5. Experience building, launching and maintaining Shopify stores, as well as overall knowledge of the Shopify platform.
6. Experience with implementing/debugging 3rd party Shopify apps as well as creating custom solutions if necessary.
7. Thorough testing and debugging skills with browser console and external tools
8. Experience with Shopify's object/properties, API, and Meta fields.
9. Experience working with Shopify apps and 3rd party services.
10. Excellent communication skills are required, giving proactive feedback to peers and team
11. In-depth knowledge of speed optimisation of Shopify stores.
12. Knowledge in other e-commerce platforms WooCommerce

KRAs includes :
1. Understanding client briefs clearly
2. Proposing suitable themes and apps for a project including the possibility of building custom themes
3. Building custom themes from UIs based on project requirements using Liquid
4. Building custom functionality as and when required
5. Setting up the store and Implementing the overall functionality as required including themes, apps and other customizations
6. Ensuring that all content and products are uploaded as per the client’s requirement
7. Maintaining and upgrading the store theme and functionality on an ongoing basis
8. Bug fixing issues reported by the QA team

Social Media Marketer

at Fermentis Life Sciences Pvt. Ltd.

Posted by Jagdish Tiwari

NCR (Delhi | Gurgaon | Noida)

0 - 3 yrs

₹25L - ₹30L / yr

Social Media Marketing (SMM)

Adobe Photoshop

Community Management

Viral Marketing

Content Writing

+1 more

Urgently Looking for experienced Social Media Expert (full time job) NO freelancers for Gurgaon Based Health Startup. Should be experienced to bring social presence in short time. As a startup we give you the opportunity to unlock your creative mind and express your thoughts. Motivated Freshers are also welcome.