Amazee Global Ventures Inc
Senior Data Scientist
Amazee Global Ventures Inc, Kearney, Nebraska, United States, 68847
This is the
Contract W2 or 1099
opportunity with Amazee Global Ventures Inc. The job description given below is for a
Lead/ Architect
level position. We welcome all qualified applicants for this
Contract W2 or 1099
role. Job Title:
Data Scientist Job Type:
Contract W2 or 1099 Job Mode: On-site Location:
Kearney, NE Duration: 12+ Months (Long Term Possible) Minimum Required Experience:
15+ years Pay Rate:
$60
on
Contract W2 or 1099 About Us:
We are a forward-thinking company at the forefront of data innovation, harnessing the power of advanced technologies to drive transformative growth. Our mission is to solve complex challenges and empower businesses by providing actionable insights through data science. As part of our ongoing expansion, we are looking for an experienced Senior Data Scientist to join our team and help shape the future of data-driven decision-making across industries. Role Overview:
As a Senior Data Scientist, you will play a key role in leading advanced analytics projects, developing sophisticated machine learning models, and driving data strategy to support business transformation. Your expertise will guide critical decision-making processes, and you'll serve as a mentor to junior team members. This is a dynamic role for a seasoned data scientist who thrives on solving complex problems, innovating with emerging technologies, and leading data science initiatives from concept to execution. Key Responsibilities Model Development:
Design, develop, and deploy machine learning and statistical models to address complex business challenges. Data Strategy:
Define and implement a data science strategy that aligns with business goals and drives impactful results. Advanced Analytics:
Apply cutting-edge techniques, including predictive analytics, natural language processing, computer vision, and optimization, to extract valuable insights. Leadership:
Guide and mentor junior data scientists, foster collaboration, and champion best practices in data science methodologies. Big Data Management:
Manage and analyze large datasets, utilizing tools like Spark, Hadoop, or Dask to derive actionable insights. Stakeholder Collaboration:
Collaborate with cross-functional teams, including product, engineering, and business units, to ensure data initiatives align with organizational objectives. Data Visualization:
Create clear, engaging visualizations and dashboards to communicate complex insights to both technical and non-technical stakeholders. Innovation:
Keep up with industry trends and emerging technologies to continuously improve the organization’s data science capabilities. Documentation:
Ensure thorough documentation of models, processes, and systems for transparency, reproducibility, and compliance. Required Qualifications Experience:
At least 15 years in data science or a related field, with a proven track record of leading successful data-driven initiatives. Technical Skills: Proficiency in Python, R, or Julia. Strong expertise in machine learning frameworks like TensorFlow, PyTorch, Scikit-learn, or XGBoost. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Hands-on experience with big data tools (e.g., Spark, Hadoop) and data processing pipelines. Database Skills:
Advanced SQL knowledge and experience with relational (PostgreSQL, MySQL) and non-relational (MongoDB, Cassandra) databases. Cloud Platforms:
Experience with cloud services such as AWS, Azure, or Google Cloud, including their ML/AI offerings. Visualization:
Experience with data visualization tools such as Tableau, Power BI, or D3.js. Leadership:
Proven ability to lead teams, manage projects, and mentor junior data scientists. Communication:
Excellent communication skills to explain complex technical concepts to non-technical stakeholders. Preferred Qualifications Experience with advanced techniques like deep learning, reinforcement learning, or AI research. Domain expertise in areas such as finance, healthcare, or e-commerce. Contributions to open-source data science projects or publications in high-impact journals. Certification in data science, AI, or cloud technologies. Familiarity with Agile/Scrum methodologies for managing projects. Why Join Us? Impactful Work:
Contribute to high-impact projects that address real-world problems and deliver measurable outcomes. Career Growth:
Access to cutting-edge training, conferences, and certifications to accelerate your professional development. Collaborative Team:
Join a diverse, innovative, and inclusive environment where ideas are shared and collaboration is key. Work-Life Balance:
Enjoy flexible working hours, remote work options, and a supportive work culture. Competitive Rewards:
Attractive compensation package, performance-based bonuses, and comprehensive benefits. Join us and be a part of a team that’s shaping the future of data science and transforming industries worldwide. Company EEO: Amazee Global Ventures Inc. is an equal-opportunity employer. We will not discriminate and will follow all measures to ensure no discrimination in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant based on race, colour, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity or gender expression. We are committed to providing an inclusive and welcoming environment for all staff members, clients, volunteers, subcontractors, vendors, and clients.
#J-18808-Ljbffr
Contract W2 or 1099
opportunity with Amazee Global Ventures Inc. The job description given below is for a
Lead/ Architect
level position. We welcome all qualified applicants for this
Contract W2 or 1099
role. Job Title:
Data Scientist Job Type:
Contract W2 or 1099 Job Mode: On-site Location:
Kearney, NE Duration: 12+ Months (Long Term Possible) Minimum Required Experience:
15+ years Pay Rate:
$60
on
Contract W2 or 1099 About Us:
We are a forward-thinking company at the forefront of data innovation, harnessing the power of advanced technologies to drive transformative growth. Our mission is to solve complex challenges and empower businesses by providing actionable insights through data science. As part of our ongoing expansion, we are looking for an experienced Senior Data Scientist to join our team and help shape the future of data-driven decision-making across industries. Role Overview:
As a Senior Data Scientist, you will play a key role in leading advanced analytics projects, developing sophisticated machine learning models, and driving data strategy to support business transformation. Your expertise will guide critical decision-making processes, and you'll serve as a mentor to junior team members. This is a dynamic role for a seasoned data scientist who thrives on solving complex problems, innovating with emerging technologies, and leading data science initiatives from concept to execution. Key Responsibilities Model Development:
Design, develop, and deploy machine learning and statistical models to address complex business challenges. Data Strategy:
Define and implement a data science strategy that aligns with business goals and drives impactful results. Advanced Analytics:
Apply cutting-edge techniques, including predictive analytics, natural language processing, computer vision, and optimization, to extract valuable insights. Leadership:
Guide and mentor junior data scientists, foster collaboration, and champion best practices in data science methodologies. Big Data Management:
Manage and analyze large datasets, utilizing tools like Spark, Hadoop, or Dask to derive actionable insights. Stakeholder Collaboration:
Collaborate with cross-functional teams, including product, engineering, and business units, to ensure data initiatives align with organizational objectives. Data Visualization:
Create clear, engaging visualizations and dashboards to communicate complex insights to both technical and non-technical stakeholders. Innovation:
Keep up with industry trends and emerging technologies to continuously improve the organization’s data science capabilities. Documentation:
Ensure thorough documentation of models, processes, and systems for transparency, reproducibility, and compliance. Required Qualifications Experience:
At least 15 years in data science or a related field, with a proven track record of leading successful data-driven initiatives. Technical Skills: Proficiency in Python, R, or Julia. Strong expertise in machine learning frameworks like TensorFlow, PyTorch, Scikit-learn, or XGBoost. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Hands-on experience with big data tools (e.g., Spark, Hadoop) and data processing pipelines. Database Skills:
Advanced SQL knowledge and experience with relational (PostgreSQL, MySQL) and non-relational (MongoDB, Cassandra) databases. Cloud Platforms:
Experience with cloud services such as AWS, Azure, or Google Cloud, including their ML/AI offerings. Visualization:
Experience with data visualization tools such as Tableau, Power BI, or D3.js. Leadership:
Proven ability to lead teams, manage projects, and mentor junior data scientists. Communication:
Excellent communication skills to explain complex technical concepts to non-technical stakeholders. Preferred Qualifications Experience with advanced techniques like deep learning, reinforcement learning, or AI research. Domain expertise in areas such as finance, healthcare, or e-commerce. Contributions to open-source data science projects or publications in high-impact journals. Certification in data science, AI, or cloud technologies. Familiarity with Agile/Scrum methodologies for managing projects. Why Join Us? Impactful Work:
Contribute to high-impact projects that address real-world problems and deliver measurable outcomes. Career Growth:
Access to cutting-edge training, conferences, and certifications to accelerate your professional development. Collaborative Team:
Join a diverse, innovative, and inclusive environment where ideas are shared and collaboration is key. Work-Life Balance:
Enjoy flexible working hours, remote work options, and a supportive work culture. Competitive Rewards:
Attractive compensation package, performance-based bonuses, and comprehensive benefits. Join us and be a part of a team that’s shaping the future of data science and transforming industries worldwide. Company EEO: Amazee Global Ventures Inc. is an equal-opportunity employer. We will not discriminate and will follow all measures to ensure no discrimination in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant based on race, colour, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity or gender expression. We are committed to providing an inclusive and welcoming environment for all staff members, clients, volunteers, subcontractors, vendors, and clients.
#J-18808-Ljbffr