Senior Data Scientist

Job not on LinkedIn

🕒 April 23

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 53%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NXT LABS

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

🤝 B2B

🤖 Artificial Intelligence

🏢 Enterprise

B2B • Artificial Intelligence • Enterprise

NXT LABS is a global software development and IT services company that delivers tailored technology solutions, emphasizing staff augmentation and end-to-end product and custom software development. The company offers AI consulting (including generative AI and machine learning), AI integrations, data & analytics (data engineering, data science, analytics), blockchain and advanced technologies, business process automation, quality assurance, UI/UX design, digital marketing, and related services. NXT LABS also offers products such as iCommerce. ai and lists offices in the United States, Saudi Arabia, the UAE, and Pakistan.

📋 Description

• Lead end-to-end data science projects from problem definition to deployment and business impact measurement. • Build predictive models, statistical models, and machine learning solutions for business and product use cases. • Perform exploratory data analysis to identify trends, patterns, and actionable insights. • Design and implement data pipelines for large-scale structured and unstructured datasets. • Develop and maintain data models, feature engineering pipelines, and experimentation frameworks. • Work closely with engineering teams to deploy models into production environments. • Build dashboards and reporting systems to communicate insights to stakeholders. • Design and run A/B tests, hypothesis testing, and causal analysis to guide decision-making. • Work with big data technologies to process and analyze large datasets efficiently. • Ensure data quality, integrity, and governance across systems. • Collaborate with product, engineering, and business teams to define metrics and success KPIs. • Mentor junior data scientists and guide best practices in analytics and modeling.

🎯 Requirements

• 5–8+ years of experience in Data Science, Machine Learning, or Analytics roles • Strong programming skills in Python or R • Strong knowledge of SQL and relational databases (PostgreSQL, MySQL, etc.) • Experience with machine learning libraries (Scikit-learn, XGBoost, TensorFlow, PyTorch, etc.) • Strong foundation in statistics, probability, and linear algebra • Experience with data visualization tools (Tableau, Power BI, or similar) • Experience working with large datasets and distributed systems (Spark, Hadoop, etc.) • Understanding of data pipelines and ETL processes • Experience deploying models into production environments

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development

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