Data Scientist
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Job Location:
Monthly Salary:
Experience Required:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Data Scientist
Experience: 8 Years
Location:
Job Type: C2C W2
Visa Eligibility: H1B GC USC H4 candidates can apply
About the Job
Are you passionate about using data to uncover insights optimize performance and drive innovation Were seeking a Data Scientist to join a fast-growing technology team where data is at the core of every this role youll leverage advanced analytics machine learning and statistical modeling to solve complex business problems and guide high-impact strategies.
If youre excited by the challenge of building scalable data models developing predictive solutions and influencing strategic direction through data this is the perfect opportunity to make your mark.
Your Responsibilities:
Develop advanced analytical models: Design build and deploy predictive and prescriptive models to address key business challenges.
Data exploration & preparation: Clean transform and analyze large structured and unstructured datasets from multiple sources.
Experimentation & optimization: Design experiments (A/B testing causal inference) and leverage results to improve decision-making.
Collaborate cross-functionally: Work closely with data engineers analysts and product teams to translate data insights into practical solutions.
Visualization & communication: Present data-driven findings through clear dashboards reports and presentations to technical and non-technical stakeholders.
Automation & scalability: Develop reusable analytics pipelines and machine learning workflows to support long-term growth.
Innovation & research: Stay ahead of industry trends emerging tools and new modeling techniques to enhance organizational capabilities.
Required Skills & Qualifications:
8 years of experience in Data Science Analytics or Machine Learning.
Strong programming skills in Python (pandas scikit-learn NumPy) and SQL for data manipulation and modeling.
Solid understanding of statistics hypothesis testing and predictive modeling techniques.
Experience with machine learning frameworks such as TensorFlow PyTorch or XGBoost.
Proven track record of building and deploying ML models in production.
Proficiency with data visualization tools (Tableau Power BI or matplotlib/Plotly).
Familiarity with cloud platforms like AWS GCP or Azure.
Requirements
Required Skills:
8 years of experience in Data Science with strong skills in Python SQL machine learning (TensorFlow/PyTorch/XGBoost) statistics data visualization (Tableau/Power BI) and cloud platforms (AWS/Azure/GCP).
Company Industry
IT Services and IT Consulting
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
