Data Scientist Jobs - Oct-2024

Experience (Years): Fresher:0-1 | Fresher-Mid:2-4 | Mid: 5-8
Mid-Senior: 9-11 | Senior: 12+ | Director: 15+

  1. Data Scientist - Analyst - Fresher (Data-Scientist-Fresher-24103)
  2. Data Scientist - Data Mining - Fresher (Data-Scientist-Fresher-24104)
  3. Data Scientist (Data-Scientist-241046)
  4. Data Scientist (Data-Scientist-241047)
  5. Data Scientist (Data-Scientist-241048)

   

Title: Data Scientist - Analyst - Fresher
Job Code: Data-Scientist-Fresher-24103

Location: Work From Home
Experience: Fresher
Date Posted: 2024-09-27
Valid Through: 2024-10-28
Apply: Job Application Form

Job Description:
Job description:

Those who are currently Pursuing their education may also apply.

Responsibilities:
  • Collaborate with the data science team to analyze large datasets, extract meaningful insights, and present findings.
  • Assist in designing, developing, and implementing machine learning models and algorithms.
  • Clean, preprocess, and manipulate data to ensure its quality and suitability for analysis.
  • Support the team in data visualization and creating interactive dashboards to communicate results effectively.
  • Contribute to the development of data-driven solutions to solve business challenges.
  • Stay updated with the latest trends and advancements in data science and machine learning.
Qualifications:
  • Currently pursuing a degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • Strong understanding of fundamental data science concepts and techniques.
  • Proficiency in programming languages such as Python or R.
  • Familiarity with data manipulation libraries (e.g., Pandas, NumPy) and data visualization tools (e.g., Matplotlib, Seaborn).
  • Basic knowledge of machine learning algorithms and frameworks.
  • Experience with SQL for data querying and manipulation.
  • Excellent problem-solving skills and attention to detail.
  • Effective communication and teamwork abilities.
  • Prior experience with data analysis projects, coursework, or personal projects is a plus.
Key Skills: Data Science, Artificial Intelligence, Machine Learning, Python

   

Title: Data Scientist - Data Mining - Fresher
Job Code: Data-Scientist-Fresher-24104

Location: Work From Home
Experience: Fresher
Date Posted: 2024-09-27
Valid Through: 2024-10-29
Apply: Job Application Form

Job Description:
Job description:
  • Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, clustering, segmentation and predictive modelling.
  • Executing the data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need.
  • Design and build dashboards and other visualizations in BI tools.
  • Should be able to handle assigned tasks in the capacity of individual contributor.
  • Demonstrate excellent teamwork.
  • Collaborate with other data analysts to provide development coverage, support.
Desired Candidate Profile:
  • Bachelors in Computer Science/ Engineering, Statistics, Math or related quantitative degree or equivalent work experience.
  • Experience with modelling techniques such as clustering, linear & logistic regression, random forest etc.
  • Must have a passion for data, structured or unstructured.
  • 0-2 years of hands-on experience with R/Python and SQL is must.
  • Should have sound experience in data mining and data analysis.
  • Excellent critical thinking, verbal and written communications skills.
  • Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.
  • Good presentation skills.
Key Skills: Logistic regression, Data analysis, Client servicing, Trend analysis, Data mining, Individual Contributor, SQL, Python, Quantitative analysis

   

Title: Data Scientist
Job Code: Data-Scientist-241046

Location: Hybrid
Experience: Unspecified
Date Posted: 2024-09-30
Valid Through: 2024-10-31
Apply: Job Application Form

Job Description:
Job Description

We are looking for a candidate with prior experience on generative AI who worked on auto-generate of unit test cases, functional testcases etc.

What you get to do in this role:
  • Analyze data to gather insights.
  • Train/test/deploy/maintain complex ML models at scale.
  • Build ML/AI enabled application on the ServiceNow platform.
  • Integrate ML/AI capabilities into the ServiceNow platform.
  • Help evolve the MLOps process our team follows
  • Write web components with APIs that developers love to use. You’ll take the time to create code that is easy to understand and maintain across the team.
  • Architect, design and build end to end proof of concept and prototype of products and solution.
To be successful in this role, we need someone who has:
  • Strong data analysis skills.
  • Strong knowledge of Python and its ecosystem of data science libraries.
  • Deep learning experience.
  • Experience on generative AI.
  • Proven experience implementing machine learning and deep learning solutions.
  • Strong understanding of MLOps process, preferably using Azure ML service.
  • Ability to learn ServiceNow platform and new technologies quickly and demonstrate a hands-on understanding.
  • Strong understanding of design patterns, integration patterns/practice, data modeling principles, and best practices.
  • A good track record of project delivery for large cross-team projects.
  • Exceptional debugging, testing, and problem-solving skills
  • Master's degree in Computer Science or a related discipline.

   

Title: Data Scientist
Job Code: Data-Scientist-241047

Location: Hybrid
Experience: Fresher-Mid Level
Date Posted: 2024-09-27
Valid Through: 2024-10-30
Apply: Job Application Form

Job Description:
Job Description
  • Good programming skills and working knowledge of Python and SQL.
  • Design data modeling processes to create algorithms and predictive models andperform custom analysis.
  • Selecting features, building and optimizing classifiers using machine learningtechniques
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Able to work independently and Self Motivated and willingness to learn.
Qualifications
  • Data Scientists with 3+ years of experience preferred. Bachelors in Computer or Business related fields.
  • Prefer a minimum of 3+ years industry experience with Tensorflow and Pytorch.
  • Experience in developing Key Project Documentation, and Technical Requirements.
  • Experience applying advanced AI techniques (e.g., machine learning, predictive analytics. optimization, semantic analysis, time-series analysis, advanced visualization) to real-world problems
Skills
  • Strong problem-solving skills with an emphasis on product development.
  • Analyze large amounts of information to discover trends and patterns
  • Ability to write reliable, manageable, and high-performance code
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.
  • Present information using data visualization techniques
  • Good knowledge of database principles, practices, structures, and theories

   

Title: Data Scientist
Job Code: Data-Scientist-241048

Location: Hybrid
Experience: Mid Level
Date Posted: 2024-09-27
Valid Through: 2024-10-28
Apply: Job Application Form

Job Description:
Job Description
  • Must have 8 to 11 years of overall IT experience
  • Must have 5+ years of hands on Model building experience using Machine Learning, Deep Learning and NLP
  • Experience in Designing and implementing ML pipelines and systems to train and deploy ML algorithms in a scalable, reliable, and cost-effective manner
  • Authoritative experience in the field of Data Science to influence stake holders across varied work streams and geographical locations, ability to challenge the status quo to improve the base line models and the models which are already productionized.
  • Experience in machine learning, supervised and unsupervised: Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms.

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Manish Bhojasia, a technology veteran with 20+ years @ Cisco & Wipro, is Founder and CTO at Sanfoundry. He lives in Bangalore, and focuses on development of Linux Kernel, SAN Technologies, Advanced C, Data Structures & Alogrithms. Stay connected with him at LinkedIn.

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