Data Scientist 4

1 Month ago • 7-9 Years • Data Analysis

Job Summary

Job Description

As a Data Scientist III, you will manage the complete data science lifecycle, including data acquisition, model development, and deployment. You will design and implement machine learning and deep learning models for various applications. Responsibilities include leading teams, collaborating with cross-functional teams, and driving data-driven decision-making. Additionally, you will monitor model performance, develop data pipelines, and communicate complex technical concepts. The role also involves staying current with industry advancements and contributing to best practices.
Must have:
  • Proficiency in Python programming and related libraries.
  • Experience in ML and DL algorithms and techniques.
  • Strong communication and leadership skills.
Good to have:
  • Experience with advanced techniques such as graph neural networks.
  • Familiarity with agile development methodologies and DevOps practices.
  • Contributions to open-source projects or research.
Perks:
  • Hospitalization Insurance for employees and family.
  • Personal Accident Insurance & Term Life Insurance.
  • Annual health check facility.
  • Reimbursement of telephone and internet expenses.
  • Wellness Allowance for health club memberships.
  • Wellbeing Wednesdays including Unplug Days and No Meeting Days.
  • Memberships for meditation and mindfulness apps, and mental health support.
  • Access to learning management system (e.g., LinkedIn Learning).
  • Access to Rewards & recognition portal and quarterly recognition program.

Job Details

We are seeking an experienced Data Scientist III to join our team. In this role, you will manage the entire data science lifecycle, including data acquisition, preparation, model development, deployment, and monitoring. You will apply advanced techniques in Python programming, machine learning (ML), deep learning (DL), and generative AI to address complex challenges and develop high-impact solutions. Your role will involve leading projects, collaborating with cross-functional teams, and driving data-driven decision-making across the organization.


What your impact will look like here:
  • Advanced Model Development: Design, develop, and implement sophisticated machine learning and deep learning models for applications such as customer churn prediction, recommendation systems, and advanced anomaly detection.
  • Programming and Libraries: Utilize Python and its advanced libraries (e.g., TensorFlow, PyTorch, Scikit-learn) to build and optimize models.
  • Generative AI Exploration: Leverage cutting-edge generative AI techniques to create innovative solutions for complex problems and enhance engagement strategies.
  • Leadership and Collaboration: Lead cross-functional teams, including product managers, engineers, and data analysts, to translate business needs into effective data-driven solutions.
  • Integration and Deployment: Oversee the integration of models into production systems, ensuring seamless deployment and performance.
  • Pipeline Management: Develop and maintain robust data pipelines for ingestion, transformation, and model training.
  • Performance Monitoring: Continuously monitor model performance, conduct evaluations, and implement improvements as necessary.
  • Communication and Strategy: Communicate complex technical concepts clearly to stakeholders and contribute to strategic data science initiatives.
  • Best Practices and Innovation: Drive the development of best practices, tools, and frameworks for data science and machine learning, staying abreast of industry advancements.


You will love this job if you have:
  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
  • 7-9 years of experience in data science, machine learning, or a relevant domain.
  • Proficiency in Python programming and extensive experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
  • Proven track record of delivering production-ready AI/ML solutions.
  • Strong expertise in machine learning and deep learning algorithms and techniques.
  • Experience with generative AI models and advanced data science techniques.
  • Proficiency in data manipulation, analysis, and visualization using Python libraries (e.g., Pandas, NumPy, Matplotlib).
  • Experience with cloud platforms and big data technologies (e.g., AWS).
  • Excellent problem-solving, analytical, and leadership skills.
  • Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.


Qualifications - Preferred
  • Experience with advanced techniques such as graph neural networks, reinforcement learning, or similar.
  • Familiarity with agile development methodologies and DevOps practices.
  • Experience with containerization technologies (e.g., Docker, Kubernetes).
  • Contributions to open-source projects or published research in machine learning, deep learning, or generative AI.
  • Experience working with government or public sector data.
  • Proficiency with data visualization tools (e.g., Tableau, Power BI).


The Team

We area globally distributed workforce across the United States, Canada, United Kingdom, India, Armenia, Australia, and New Zealand.

 

The Culture

At Granicus, we are building a transparent, inclusive, and safe space for everyone who wants to be a part of our journey. A few culture highlights include –

-        Employee Resource Groups to encourage diverse voices

-        Coffee with Mark sessions – Our employees get to interact with our CEO on very important and sometimes difficult issues ranging from mental health to work life balance and current affairs.

-        Embracing diversity & fostering a culture of ideation, collaboration & meritocracy

-        We bring in special guests from time to time to discuss issues that impact our employee population


The Company

Serving the People Who Serve the People

Granicus is driven by the excitement of building, implementing, and maintaining technology that is transforming the Govtech industry by bringing governments and its constituents together. We are on a mission to support our customers with meeting the needs of their communities and implementing our technology in ways that are equitable and inclusive. Granicus has consistently appeared on the GovTech 100 list over the past 5 years and has been recognized as the best companies to work on BuiltIn.

Over the last 25 years, we have served 5,500 federal, state, and local government agencies and more than 300 million citizen subscribers power an unmatched Subscriber Network that use our digital solutions to make the world a better place. With comprehensive cloud-based solutions for communications, government website design, meeting and agenda management software, records management, and digital services, Granicus empowers stronger relationships between government and residents across the U.S., U.K., Australia, New Zealand, and Canada. By simplifying interactions with residents, while disseminating critical information, Granicus brings governments closer to the people they serve—driving meaningful change for communities around the globe.

Want to know more? See more of what we do here.


The Impact

We are proud to serve dynamic organizations around the globe that use our digital solutions to make the world a better place — quite literally. We have so many powerful success stories that illustrate how our solutions are impacting the world. See more of our impact here.


The Process

-        Assessment – Take a quick assessment.

-        Phone screen – Speak to one of our talented recruiters to ensure this could be a fit.

-        Hiring Manager/Panel interview – Talk to the hiring manager so they can learn more about you and you about Granicus. Meet more members on the team! Learn more and share more.

-        Reference checks – Provide 2 references so we can hear about your awesomeness.

-        Verbal offer – Let’s talk numbers, benefits, culture and answer any questions.

-        Written offer – Sign a formal letter and get excited because we sure are!


Benefits at Granicus India

Along with the challenges of the job, Granicus offers employees an attractive benefits package which includes –

-        Hospitalization Insurance Policy covering employees and their family members including parents

-        All employees are covered under Personal Accident Insurance & Term Life Insurance policy

-        All employees can avail annual health check facility 

-        Eligible for reimbursement of telephone and internet expenses

-        Wellness Allowance to avail health club memberships and/or access to physical fitness centres

-        Wellbeing Wednesdays which includes 1x global Unplug Day and 2x No Meeting Days every quarter

-        Memberships for ‘meditation and mindfulness ‘ apps including on-demand mental health support 24/7 

-        Access to learning management system Say., LinkedIn Learning Premium account membership & many more

-        Access to Rewards & recognition portal and quarterly recognition program

 

Security and Privacy Requirements

-        Responsible for Granicus information security by appropriately preserving the Confidentiality, Integrity, and Availability (CIA) of Granicus information assets in accordance with the company's information security program.

-        Responsible for ensuring the data privacy of our employees and customers, their data, as well as taking all required privacy training in a timely manner, in accordance with company policies. 

  

Granicus is committed to providing equal employment opportunities. All qualified applicants and employees will be considered for employment and advancement without regard to race, color, religion, creed, national origin, ancestry, sex, gender, gender identity, gender expression, physical or mental disability, age, genetic information, sexual or affectional orientation, marital status, status regarding public assistance, familial status, military or veteran status or any other status protected by applicable law.

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