We are looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual. You are a high performer who’s an expert at your craft, constantly challenging the status quo. You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together. Key Responsibilities: • Responsible for designing, developing, and deploying intelligent agents using LangChain and LangGraph frameworks to optimize conversational AI workflows. • Build, deploy, and optimize data models focused on generative AI and large language models. • Create and refine methods to measure AI model performance and impact. • Collaborate with product and engineering teams to integrate AI solutions (e.g., Gemini, OpenAI, Azure AI). • Stay current on advances in data science, machine learning, and generative AI. • Mentor junior data scientists and engineers. • Communicate clearly with stakeholders, presenting insights and recommendations. • Apply statistical, econometric, and machine learning methods to generate actionable insights and support decision-making. • Identify, integrate, and leverage key data sources to enhance analytics. • Develop scalable data structures and analytic products. • Lead end-to-end analytics projects including data gathering, feature creation, modeling, deployment, and monitoring. • Provide insights to encourage data-driven decision-making throughout the organization. • Mentor teams on data science best practices and contribute thought leadership through blogs or articles. • Develop and deliver training on analytics tools and data science techniques (e.g., Alteryx, Tableau). • Explore and apply new data science tools and methodologies to maintain innovation. Qualifications: • Bachelor's degree required; advanced degree (Master’s or Ph.D.) in Data Science, Statistics, Econometrics, Computer Science, or related field strongly preferred. • 5+ years of professional experience as a Data Scientist, particularly within areas such as Sales, Finance, Product, Strategy, or Marketing in the software or technology industry. • Strong programming skills in Python and R, including familiarity with advanced analytics libraries and frameworks. • Expertise in a wide array of statistical methods, econometrics, machine learning algorithms, artificial intelligence, and predictive analytics. • Proven experience developing scalable analytic data strategies and robust analytic products. • Proficiency with visualization tools such as Tableau and experience in business analytics platforms like Alteryx. • Familiarity with data pipelines, ETL processes, cloud databases, data warehouses (e.g., Snowflake), and data lakes. • Experience deploying analytics solutions in cloud environments (GCP, AWS & Azure). • Strong communication skills, with the ability to clearly articulate complex analytic concepts and results to business stakeholders. • Excellent problem-solving and interpersonal skills, capable of independently managing multiple projects in a dynamic environment.
We are looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual. You are a high performer who's an expert at your craft, constantly challenging the status quo. You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together. Key Responsibilities: Responsible for designing, developing, and deploying intelligent agents using LangChain and LangGraph frameworks to optimize conversational AI workflows. Build, deploy, and optimize data models focused on generative AI and large language models. Create and refine methods to measure AI model performance and impact. Collaborate with product and engineering teams to integrate AI solutions (e.g., Gemini, OpenAI, Azure AI). Stay current on advances in data science, machine learning, and generative AI. Mentor junior data scientists and engineers. Communicate clearly with stakeholders, presenting insights and recommendations. Apply statistical, econometric, and machine learning methods to generate actionable insights and support decision-making. Identify, integrate, and leverage key data sources to enhance analytics. Develop scalable data structures and analytic products. Lead end-to-end analytics projects including data gathering, feature creation, modeling, deployment, and monitoring. Provide insights to encourage data-driven decision-making throughout the organization. Mentor teams on data science best practices and contribute thought leadership through blogs or articles. Develop and deliver training on analytics tools and data science techniques (e.g., Alteryx, Tableau). Explore and apply new data science tools and methodologies to maintain innovation. Qualifications: Bachelor's degree required; advanced degree (Master's or Ph.D.) in Data Science, Statistics, Econometrics, Computer Science, or related field strongly preferred. 5+ years of professional experience as a Data Scientist, particularly within areas such as Sales, Finance, Product, Strategy, or Marketing in the software or technology industry. Strong programming skills in Python and R, including familiarity with advanced analytics libraries and frameworks. Expertise in a wide array of statistical methods, econometrics, machine learning algorithms, artificial intelligence, and predictive analytics. Proven experience developing scalable analytic data strategies and robust analytic products. Proficiency with visualization tools such as Tableau and experience in business analytics platforms like Alteryx. Familiarity with data pipelines, ETL processes, cloud databases, data warehouses (e.g., Snowflake), and data lakes. Experience deploying analytics solutions in cloud environments (GCP, AWS & Azure). Strong communication skills, with the ability to clearly articulate complex analytic concepts and results to business stakeholders. Excellent problem-solving and interpersonal skills, capable of independently managing multiple projects in a dynamic environment.
We are looking for a talented and motivated Python Developer to join our team. As a Python Developer, you will play a key role in developing high-performance, scalable applications and solutions. You will work with cutting-edge technologies and collaborate with a dynamic team to build robust, efficient, and scalable systems. Experience with Machine Learning is a plus and highly encouraged. Key Responsibilities: - Design, develop, and maintain Python-based applications and APIs. - Write clean, efficient, and maintainable code. - Collaborate with cross-functional teams to define project requirements and implement solutions. - Build and integrate machine learning models and data pipelines. - Troubleshoot, debug, and optimize applications. - Implement testing and validation to ensure high-quality code. - Stay up to date with the latest trends and technologies in software development. - Document code and processes for future reference and training. Qualifications: - Proficiency in Python and its frameworks (e.g., Django, Flask). - Strong understanding of data structures, algorithms, and object-oriented programming (OOP). - Experience with RESTful API design and integration. - Familiarity with databases (SQL and NoSQL). - Knowledge of version control systems (e.g., Git). - Good to have: Experience with machine learning algorithms and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Preferred Skills: - Experience with cloud platforms (AWS, Google Cloud, or Azure). - Familiarity with DevOps tools and CI/CD processes. - Experience with containerization technologies (Docker, Kubernetes). - Knowledge of data visualization tools.
Company Description SherTech Information Services is a growing IT services company that creates scalable software applications for businesses across various domains including Healthcare, Manufacturing, eCommerce, News & Media. SherTech focuses on delivering innovative solutions that cater to the specific needs of its clients, ensuring improved efficiency and performance. Role Description This is a full-time remote role for an SDET (Software Development Engineer in Test) with Python expertise and over 4 years of experience. The SDET will be responsible for designing, developing, and maintaining automated tests, performing code reviews, debugging, and collaborating with the development team to ensure high-quality applications. The role also includes developing test plans, monitoring system performance, and ensuring the reliability of software products. Qualifications Strong expertise in Python for software testing and development Experience in Software Development and Programming Knowledge of Object-Oriented Programming (OOP) Proficiency in Back-End Web Development and Computer Science principles 4+ years of experience in testing and maintaining software applications Excellent problem-solving skills and attention to detail Bachelor's degree in Computer Science or a related field Experience with CI/CD pipelines and agile methodologies is a plus