ditube.info Logo

ditube.info

Senior Data Scientist

Posted Yesterday
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in United States
Senior level
Remote or Hybrid
Hiring Remotely in United States
Senior level
Lead AI-powered solutions development as part of a Senior Data Scientist role, mentoring junior members and collaborating with teams to address financial challenges through data-driven strategies.
The summary above was generated by AI

We are looking for an experienced and driven Senior Data Scientist to join our team and lead the development of AI-powered solutions. As a Senior Data Scientist, you will work closely with teams to design, implement, and deploy data-driven solutions that drive business value. You will help shape our data science strategy, mentor junior team members, and ensure the robustness and scalability of our models in production environments.

 

What you'll need to bring to the role & Experian

 

  • Bachelor's/Master's/Ph.D. degree in computer science, Statistics, Mathematics, Data Science, or a related field.
  • 5+ years of experience in data science or machine learning, with a strong track record of delivering impactful solutions.
  • Proficiency in Python and ML frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.
  • Experience with statistical modeling, time series forecasting, supervised and unsupervised learning, and optimization techniques.
  • Experience with generative AI principles.
  • Intermediate to fluent English proficiency – technical concepts clearly in English is essential.
  • Experience working with financial datasets (e.g., credit scoring, fraud detection, risk modeling, pricing, or forecasting).
  • Proficiency in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, CosmosDB, MongoDB).
  • Experience deploying models into production using Databricks and cloud platforms (AWS, GCP, or Azure).
  • Familiarity with MLOps practices, CI/CD pipelines, and model monitoring tools.
  • Experience with data visualization tools (e.g., Plotly, Tableau) to communicate insights effectively.

Work that matters - What you'll be doing

 

  • Lead the design, development, and deployment of machine learning models to solve high-impact financial problems.
  • Collaborate with product managers, engineers, and business stakeholders to define data science use cases and translate them into actionable solutions.
  • Analyse large-scale structured and unstructured datasets to extract insights and build predictive models.
  • Develop and maintain robust model training workflows.
  • Ensure model interpretabilityfairness, and compliance with regulatory standards.
  • Mentor junior data scientists and contribute to the growth of the data science team.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences.

 

More about you

 

  • Passion for using data to drive decisions.
  • A mindset for continuous learning and innovation.
  • Ethical awareness of bias, fairness, and transparency in AI models.

 

Why this role is important to us

 

This role is critical to our mission of leveraging data and AI to drive innovation across our services. As a Senior Data Scientist, your expertise will directly influence strategic decisions, improve customer outcomes, and enhance operational efficiency. You will collaborate closely with professionals from diverse backgrounds - including product, engineering, operations, and business strategy - to solve real-world challenges across multiple domains. Your insights will help shape our data science roadmap and deliver measurable value to the organization.

 

Top Skills

AWS
Azure
Cosmosdb
Databricks
GCP
MongoDB
Postgres
Python
PyTorch
Scikit-Learn
SQL
Tableau
TensorFlow
Xgboost

Similar Jobs

3 Days Ago
Easy Apply
Remote or Hybrid
IN, USA
Easy Apply
170K-200K Annually
Senior level
170K-200K Annually
Senior level
Artificial Intelligence • Big Data • Computer Vision • Information Technology • Machine Learning • Analytics • Defense
The Senior Data Scientist will develop and validate machine learning models, automate data pipelines, and implement AI solutions in cloud and edge environments, while collaborating with teams and interfacing with customers.
Top Skills: AWSAzureDockerGCPGitKubernetesPythonPyTorchScikit-LearnTensorFlow
4 Days Ago
Remote or Hybrid
Cambridge, MA, USA
147K-272K Annually
Senior level
147K-272K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
The Senior Data Scientist will lead care gap analyses and HCP segmentation strategies using real-world data, mentor team members, and communicate insights to support medical affairs.
Top Skills: Machine LearningPredictive ModelsProbabilistic Causal ModelsUnsupervised Algorithms
4 Days Ago
Remote or Hybrid
United States
129K-198K Annually
Senior level
129K-198K Annually
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Senior Data Scientist will develop and deploy analytical models supporting marketing strategies, assess campaign effectiveness, and optimize customer engagement strategies, employing advanced data-driven methods and partnering with marketing stakeholders.
Top Skills: NumpyPandasPymcPythonPyTorchRSklearnSparkSpark/MlSQLStatsmodelsTensorFlow

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account