Job Description

Location: [India]
Job Type: Short Term Contract
We are seeking an experienced Data Scientist with a minimum of 5 years of expertise in data modeling and analysis. They must be highly proficient with statistical analysis of data (exploratory data analysis), and visualising key results. They should be able to identify opportunities for data science models which could be produced within a dataset, and produce examples using common python libraries such as SKLearn. For any produced model, they must also be able to deploy the model in the cloud, with lambda functions or sagemaker endpoints. Familiarity with normal software development practices such as git, pull requests, and use of different branches and environments is also important.
Key Responsibilities

• Given a new dataset, visualise statistical patterns and investigate the feasibility of model development
• Design and deploy supervised models from the datasets, including classical logic and rule-based systems where appropriate
• Analyze large datasets to extract actionable insights and support data-driven decision-making.
• Collaborate with data engineers, analysts, and other stakeholders to understand data needs and deliver solutions that meet business requirements.
• Be able to work locally and in AWS depending on the data connectivity and compute requirements
• Document progress and write confluence documentation for models, their purpose, and examples of usage

Qualifications Experience: 5+ years of experience as a Data Scientist or in a similar role.



Technical Skills: • Excellent core python skills, including object oriented programming
• Strong usage of data science python libraries such as XGBoost, SKLearn, LiteGBM, Matplotlib and others
• Practical experience with AWS Lambda as a compute option for deployed code
• Familiarity with machine learning algorithms and data analysis techniques.

Analytical Skills :
Ability to analyze complex datasets and provide meaningful insights.



Problem-Solving: Strong troubleshooting skills to resolve issues in data pipelines and workflows.
Collaboration: Excellent teamwork skills, with the ability to work effectively with cross-functional teams.
Adaptability: Ability to thrive in a fast-paced, dynamic environment with evolving requirements.
Preferred Skills • Familiarity with additional AWS services and cloud-based data solutions.
• Experience with other AWS cloud compute options such as EC2 and ECS/EKS.
• Understanding of data security and compliance best practices.
• Strong communication skills, both written and verbal.
Proven ability to manage multiple tasks and deliver high-quality results within deadlines.
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The guiding principles for success at Norstella:
01: Bold, Passionate, Mission-First We have a lofty mission to Smooth Access to Lifesaving Therapies, and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission we are trying to accomplish must be at the forefront of our minds in everything we do.
02: Integrity, Truth, Reality We make promises that we can keep and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals.
03: Kindness, Empathy, Grace We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication.
04: Resilience, Mettle, Perseverance We will persevere even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission.
05: Humility, Gratitude, Learning We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking.