Data Scientist
VentureSoft · Pleasanton, CA · 3 days ago
EngineeringFull-time
About the role
VentureSoft Global is seeking a skilled Data Scientist to join our dynamic team. This role involves developing and deploying advanced ML models, including large language models (LLMs), to solve complex business problems.
Responsibilities
- Develop and deploy machine learning (ML) models to solve complex business problems.
- Design, fine-tune, and evaluate large language models (LLMs) for various applications.
- Research and prototype cutting-edge AI models, ensuring scalability and effectiveness.
- Analyze structured and unstructured data to extract actionable insights.
- Build and optimize data pipelines to support AI/ML model training and deployment.
- Collaborate with cross-functional teams to understand requirements and deliver AI-driven solutions.
- Conduct A/B testing, performance monitoring, and continuous model improvement.
- Stay updated on the latest advancements in AI/ML technologies and integrate them as appropriate.
- Document processes, models, and findings for technical and non-technical stakeholders.
Requirements
- PhD or Master's degree in Computer Science, Statistics, Mathematics, or related field.
- 5+ years of experience in Business intelligence, data science, or related fields.
- Strong programming skills in Python, R, or Julia, with expertise in libraries like TensorFlow, PyTorch, or Scikit-learn.
- In-depth understanding of large language models (e.g., GPT, BERT) and natural language processing (NLP).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Knowledge of deep learning architectures (CNNs, RNNs, Transformers) and their applications.
- Proficiency in querying and managing data using SQL, NoSQL, or graph databases.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow).
- Strong mathematical foundation in statistics, linear algebra, and optimization techniques.
- Experience with distributed computing frameworks like Apache Spark or Hadoop.
- Effective communication skills to present technical findings to diverse audiences.
- Commitment to continuous learning and passion for exploring emerging AI/ML trends.
Qualifications
- PhD or Master's degree in Computer Science, Statistics, Mathematics, or related field.
- 5+ years of experience in Business intelligence, data science, or related fields.
- Strong programming skills in Python, R, or Julia, with expertise in libraries like TensorFlow, PyTorch, or Scikit-learn.
- In-depth understanding of large language models (e.g., GPT, BERT) and natural language processing (NLP).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Knowledge of deep learning architectures (CNNs, RNNs, Transformers) and their applications.
- Proficiency in querying and managing data using SQL, NoSQL, or graph databases.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow).
- Strong mathematical foundation in statistics, linear algebra, and optimization techniques.
- Experience with distributed computing frameworks like Apache Spark or Hadoop.
- Effective communication skills to present technical findings to diverse audiences.
- Commitment to continuous learning and passion for exploring emerging AI/ML trends.
Skills
- Strong programming skills in Python, R, or Julia, with expertise in libraries like TensorFlow, PyTorch, or Scikit-learn.
- In-depth understanding of large language models (e.g., GPT, BERT) and natural language processing (NLP).
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Knowledge of deep learning architectures (CNNs, RNNs, Transformers) and their applications.
- Proficiency in querying and managing data using SQL, NoSQL, or graph databases.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tools (MLflow, Kubeflow).
- Strong mathematical foundation in statistics, linear algebra, and optimization techniques.
- Experience with distributed computing frameworks like Apache Spark or Hadoop.
- Effective communication skills to present technical findings to diverse audiences.
- Commitment to continuous learning and passion for exploring emerging AI/ML trends.
Benefits
- Working at VentureSoft means being part of a team driven by success and care.
- We believe in helping each other achieve their aspirations.
- We prioritize your growth through exceptional mentorship opportunities, continuous learning programs, and a well-defined career path.
- Our flat and agile structure ensures that your voice is heard, your ideas are valued, and your contributions drive success for our clients and partners.
- At VentureSoft, you’re not just an employee—you’re part of a community that supports your aspirations and celebrates your achievements.
- Flexible Work Schedule/Telecommuting
- Vacation / Paid Time Off
- Employee Discounts and Rewards
- Finding Balance
- Health Insurance / Wellness Program
- We offer the best employee benefits and perks, and we have created a culture of appreciation within our organization.
- It’s a philosophy that’s not necessarily new—the idea that employees who are treated better perform better—but it’s starting to gain momentum in the professional world.
Pay
N/A
Schedule
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