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Data Scientist I Job Opening In Noida – Now Hiring Precisely


Job description

Precisely is the leader in data integrity.

We empower businesses to make more confident decisions based on trusted data through a unique combination of software, data enrichment products and strategic services.

What does this mean to you?

For starters, it means joining a company focused on delivering outstanding innovation and support that helps customers increase revenue, lower costs and reduce risk.

In fact, Precisely powers better decisions for more than 12,000 global organizations, including 99 of the Fortune 100.

Precisely's 2500 employees are unified by four company core values that are central to who we are and how we operate: Openness, Determination, Individuality, and Collaboration.

We are committed to career development for our employees and offer opportunities for growth, learning and building community.

With a work from anywhere culture, we celebrate diversity in a distributed environment with a presence in 30 countries as well as 20 offices in over 5 continents.

Learn more about why it's an exciting time to join Precisely!

Intro and job overview: 

In this role, you will be responsible for designing, building, and deploying applications in our next-gen Data Integrity Suite platform based on k8’s.

You will work closely with Software engineers, data scientists, and product managers to develop and deploy data-driven solutions that deliver business value.

Responsibilities and Duties: 

  • We are seeking a Data Scientist-I with expertise in design and development of data and ML centric applications at scale.

    The right candidate should have a background in Data science, working with Machine learning algorithms and frameworks and requisite experience developing data engineering pipelines.
  • As a Data Scientist-I you will be responsible for utilizing your analytical, statistical and programming skills to collect, analyze and interpret large data sets.

    This information can be used to develop data-driven solutions to solve difficult business challenges and analyze trends to make better decisions.
  • The candidate technically leads & delivers multi-project functionality in each product release.

    Accountable for quality of work, results obtained and productivity of the employee's supervised.

    It is essential that the individual has fast learning abilities.

    Initiative is required to drive solutions to problems when working in a team.

    She/he will be flexible to work on multiple tasks based on project priorities.
  • Requirements and Qualifications:

  • 1-3 years of experience manipulating data sets and building statistical models, has a degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the open source Machine learning tools.
  • Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with LLM based applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Knowledge of transforming data science prototypes and applying appropriate ML algorithms and tools.
  • Experience in designing machine learning systems and self-running artificial intelligence AI software to automate predictive models.
  • Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
  • Good to have:
  • Experience visualizing/presenting data for stakeholders using: Qlik, D3, ggplot, etc.
  • Experience in OpenCV, Keras/PyTorch/Tensorflow.
  • Experience with cloud-native development (AWS, Azure, GCP etc.)
  • Experience in geo-spatial domain - geocoding , location intelligence etc is Big plus.
  • #LI-SA1

    The personal data that you provide as a part of this job application will be handled in accordance with relevant laws.

    For more information about how Precisely handles the personal data of job applicants, please see the .

    Required Skill Profession

    Mathematical Science Occupations


    • Job Details

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    Unlock Your Data Scientist Potential: Insight & Career Growth Guide


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    Are You Looking for Data Scientist I Job?

    Great news! is currently hiring and seeking a Data Scientist I to join their team. Feel free to download the job details.

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    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Precisely adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying India laws and regulations

    What Is the Average Salary Range for Data Scientist I Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Noida. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Data Scientist I?

    Key qualifications for Data Scientist I typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

    How Can I Improve My Chances of Getting Hired for Data Scientist I?

    To improve your chances of getting hired for Data Scientist I, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    Interview Tips for Data Scientist I Job Success

    Precisely interview tips for Data Scientist I

    Here are some tips to help you prepare for and ace your Data Scientist I job interview:

    Before the Interview:

    Research: Learn about the Precisely's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

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    Follow Up: Send a thank-you email to the interviewer within 24 hours.

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    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Data Scientist I interview at Precisely, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Precisely's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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