Cutshort logo
Logistic regression Jobs in Bangalore (Bengaluru)

Logistic regression Jobs in Bangalore (Bengaluru)

Explore top Logistic regression Job opportunities in Bangalore (Bengaluru) from Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.
icon
DP
Posted by Prajwal Hegde
Bengaluru (Bangalore)
4 - 8 yrs
Best in industry
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
+12 more

Roles and Responsibilities:

• Work with stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions.

• Mine and analyze data from company databases to drive optimization and improvement of processes, marketing techniques and business strategies.

• Develop custom data models and algorithms to apply to data sets.

• Use predictive modeling to increase and optimize the business process and solutions.

• Research and development of AI algorithms and their applicability in business-related problems to build intelligent systems


Desired Profile:

• Need to have experience in data analytics, descriptive analytics and predictive analytics

• Need to have experience with regression/classification models: Linear Regression, Logistic Regression, Decision Trees, Random Forest, Neural Networks and ML Models

• Need to have experience coding in Python, R, SQL, Java, C and C++ • Experience using AI/ML tools available from cloud service providers like AWS/AZURE/GCP including TensorFlow, SageMaker and Azure ML • Experience with Data Visualization

• Strong problem-solving skills with an emphasis on product development.

• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

• Proven track record of supporting global clients or internal stakeholders in data science projects.

• Technical knowledge in Artificial Intelligence (AI), image processing and/or video analytics • Good understanding of the latest research and technologies in Artificial Intelligence


Good to Have:

• Need to have background/education/experience in Statistics • Experience in working across multiple geographic borders and time zones

• Outstanding spoken and written communication skills: able to deal confidently, tactfully and appropriately with people of different disciplines and at all levels of the organization.

• Communicate technical concepts effectively a to non-technical audiences

• Able to build strong relationships with multiple global stakeholders quickly via virtual tools, listen, understand and respond to any concerns.

• Comfortable working within a large and complex environment with multiple stakeholders and interest groups. Ability to motivate and influence others to achieve results.

Read more
Bengaluru (Bangalore)
2 - 5 yrs
₹25L - ₹28L / yr
Data Science
Machine Learning (ML)
Data Scientist
Python
Logistic regression
+2 more
  • Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
  • Implement data pipelines, new features, and algorithms that are critical to our production models
  • Create scalable strategies to deploy and execute your models
  • Write well designed, testable, efficient code
  • Identify valuable data sources and automate collection processes.
  • Undertake to preprocess of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.

 

Requirements:

  • 2+ years of experience in applied data science or engineering with a focus on machine learning
  • Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor, etc)
  • strong quantitative and programming skills with a product-driven sensibility

 

 

Read more
Bengaluru (Bangalore)
1 - 2 yrs
₹15L - ₹17L / yr
Machine Learning (ML)
Data Science
Data Scientist
Python
pandas
+4 more
  • Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
  • Implement data pipelines, new features, and algorithms that are critical to our production models
  • Create scalable strategies to deploy and execute your models
  • Write well designed, testable, efficient code
  • Identify valuable data sources and automate collection processes.
  • Undertake to preprocess of structured and unstructured data.
  • Analyze large amounts of information to discover trends and patterns.

Requirements:

  • 1+ years of experience in applied data science or engineering with a focus on machine learning
  • Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
  • strong quantitative and programming skills with a product-driven sensibility

 

Read more

at Marktine

1 recruiter
DP
Posted by Vishal Sharma
Remote, Bengaluru (Bangalore)
2 - 10 yrs
₹5L - ₹15L / yr
Machine Learning (ML)
RNN
DNN
Data modeling
Data Visualization
+2 more
What you will do?
- Understand the business drivers and analytical use-cases.
- Translate use cases to data models, descriptive, analytical, predictive, and engineering outcomes.
- Explore new technologies and learn new techniques to solve business problems creatively
- Think big! and drive the strategy for better data quality for the customers.
- Become the voice of business within engineering and of engineering within the business with customers.
- Collaborate with many teams - engineering and business, to build better data products and services
- Deliver the projects along with the team collaboratively and manage updates to customers on time

What we're looking for :
- Hands-on experience in data modeling, data visualization, and pipeline design and development
- Hands-on exposure to Machine learning concepts like supervised learning, unsupervised learning, RNN, DNN.
- Prior experience working with business stakeholders, in an enterprise space is a plus
- Great communication skills. You should be able to directly communicate with senior business leaders, embed yourself with business teams, and present solutions to business stakeholders
- Experience in working independently and driving projects end to end, strong analytical skills.
Read more

at Antuit

1 recruiter
DP
Posted by Purnendu Shakunt
Bengaluru (Bangalore)
4 - 7 yrs
₹15L - ₹20L / yr
Data Science
Machine Learning (ML)
Artificial Intelligence (AI)
Python
Algorithms
+4 more

About antuit.ai

 

Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through.

 

Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital.

 

The Role:

 

Antuit is looking for a Data / Sr. Data Scientist who has the knowledge and experience in developing machine learning algorithms, particularly in supply chain and forecasting domain with data science toolkits like Python.

 

In this role, you will design the approach, develop and test machine learning algorithms, implement the solution.  The candidate should have excellent communication skills and be results driven with a customer centric approach to problem solving.  Experience working in the demand forecasting or supply chain domain is a plus. This job also requires the ability to operate in a multi-geographic delivery environment and a good understanding of cross-cultural sensitivities.

 

Responsibilities:

 

Responsibilities includes, but are not limited to the following:

 

  • Design, build, test, and implement predictive Machine Learning models.
  • Collaborate with client to align business requirements with data science systems and process solutions that ensure client’s overall objectives are met.
  • Create meaningful presentations and analysis that tell a “story” focused on insights, to communicate the results/ideas to key decision makers.
  • Collaborate cross-functionally with domain experts to identify gaps and structural problems.
  • Contribute to standard business processes and practices as part of a community of practise.
  • Be the subject matter expert across multiple work streams and clients.
  • Mentor and coach team members.
  • Set a clear vision for the team members and working cohesively to attain it.

 

Qualifications and Skills:

 

Requirements

  • Experience / Education:
    • Master’s or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics or other related 
  • 5+ years’ experience working in applied machine learning or relevant research experience for recent Ph.D. graduates.
  • Highly technical:
  • Skilled in machine learning, problem-solving, pattern recognition and predictive modeling with expertise in PySpark and Python.
  • Understanding of data structures and data modeling.
  • Effective communication and presentation skills
  • Able to collaborate closely and effectively with teams.
  • Experience in time series forecasting is preferred.
  • Experience working in start-up type environment preferred.
  • Experience in CPG and/or Retail preferred.
  • Effective communication and presentation skills.
  • Strong management track record.
  • Strong inter-personal skills and leadership qualities.

 

Information Security Responsibilities

  • Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
  • Take part in Information Security training and act accordingly while handling information.
  • Report all suspected security and policy breach to Infosec team or appropriate authority (CISO).

 

EEOC

 

Antuit.ai is an at-will, equal opportunity employer.  We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
Read more
Get to hear about interesting companies hiring right now
iconFollow Cutshort
Why apply via Cutshort?
Connect with actual hiring teams and get their fast response. No spam.
Learn more
Get to hear about interesting companies hiring right now
iconFollow Cutshort