Data Scientist jobs at Buyers Edge Platform - 883 jobs

Job Title: Data Scientist - GenAI Work Experience: 5+ Years On-site requirement: 4 days per week at Atlanta office We are looking for a highly capable and innovative Data Scientist with experience in Generative AI to join our Data Science Team. You will lead the development and deployment of GenAI solutions, including LLM-based applications, prompt engineering, fine-tuning, embeddings, and retrieval-augmented generation (RAG) for enterprise use cases. The ideal candidate has a strong foundation in machine learning and NLP, with hands-on experience in modern GenAI tools and frameworks such as OpenAI, LangChain, Hugging Face, Vertex AI, Bedrock, or similar. Key Responsibilities: Design and build Generative AI solutions using Large Language Models (LLMs) for business problems across domains like customer service, document automation, summarization, and knowledge retrieval. Fine-tune or adapt foundation models using domain-specific data. Implement RAG pipelines, embedding models, vector databases (e.g., FAISS, Pinecone, ChromaDB). Collaborate with data engineers, MLOps, and product teams to build end-to-end AI applications and APIs. Develop custom prompts and prompt chains using tools like LangChain, LlamaIndex, PromptFlow, or custom frameworks. Evaluate model performance, mitigate bias, and optimize accuracy, latency, and cost. Stay up to date with the latest trends in LLMs, transformers, and GenAI architecture. Required Skills: 5+ years of experience in Data Science / ML, with 1+ year hands-on in LLMs / GenAI projects. Strong Python programming skills, especially in libraries such as Transformers, LangChain, scikit-learn, PyTorch, or TensorFlow. Experience with OpenAI (GPT-4), Claude, Mistral, LLaMA, or similar models. Knowledge of vector search, embedding models (e.g., BERT, Sentence Transformers), and semantic search techniques. Ability to build scalable AI workflows and deploy them via APIs or web apps (e.g., FastAPI, Streamlit, Flask). Familiarity with cloud platforms (AWS/GCP/Azure) and MLOps best practices. Excellent communication skills with the ability to translate technical solutions into business impact. Preferred Qualifications: Experience with prompt tuning, few-shot learning, or LoRA-based fine-tuning. Knowledge of data privacy and security considerations in GenAI applications. Familiarity with enterprise architecture, SDLC, or building GenAI use cases in regulated domains (e.g., finance, insurance, healthcare). For more information on benefits and what we offer please visit us at **************************************************

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. You will lead customer-focused project teams as a technical leader and perform hands-on development of Data & Analytics solutions with exceptional quality. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies. - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience Preferred Qualifications - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. You will lead customer-focused project teams as a technical leader and perform hands-on development of Data & Analytics solutions with exceptional quality. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies. - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience Preferred Qualifications - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. You will lead customer-focused project teams as a technical leader and perform hands-on development of Data & Analytics solutions with exceptional quality. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. Key job responsibilities As an experienced technology professional, you will be responsible for: - Leading project teams, designing and implementing end-to-end large-scale, complex, scalable, and secure Data Analytics AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective Data & Analytics migration and modernization strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies, ensuring compliance with industry standards and governance while aligning data solutions with business strategies. - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture - Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth - We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience - 7+ years of external or internal customer facing, complex and large scale project management experience - 5+ years of cloud architecture and solution implementation experience - Bachelor's degree, or 7+ years of professional or military experience Preferred Qualifications - degree in advanced technology, or AWS Professional level certification - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - Knowledge of security and compliance standards including HIPAA and GDPR - Experience in performance optimization and cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $138,200/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.

Job Title: Data Science Architect (MLOps & API Performance Analytics) Duration: Long-term About the Role: We're seeking a Senior Software Engineer/Architect with deep experience in Data Science, DevOps/MLOps, and Data Visualization, with an added focus on API performance tracking, analytics, troubleshooting, predictive reliability, and pattern identification. In this senior role, you will: Architect and deliver scalable, production‑grade data and ML solutions Lead cross‑functional initiatives to improve system and API reliability Build predictive models that forecast failures before they occur Guide teams through complex troubleshooting and performance optimization Influence technical strategy and engineering standards across the organization You will partner with backend engineering, SRE, data engineering, and product teams to deliver high‑impact, data‑driven improvements to stability and performance.

Job Title: Sr. Data Engineer-ETL Duration: Long-term Main Skill: Over 10+ years of experience in the Software Development Industry. We need data Engineering exp - building ETLS using spark and sql, real time and batch pipelines using Kafka/firehose, experience with building pipelines with data bricks/snowflake, experience with ingesting multiple data formats like json/parquet/delta etc. Job Description: About You You have a BS or MS in Computer Science or similar relevant field You work well in a collaborative, team-based environment You are an experienced engineering with 3+ years of experience You have a passion for big data structures You possess strong organizational and analytical skills related to working with structured and unstructured data operations You have experience implementing and maintaining high performance / high availability data structures You are most comfortable operating within cloud based eco systems You enjoy leading projects and mentoring other team members Specific Skills: Over 10 years of experience in the Software Development Industry. Experience or knowledge of relational SQL and NoSQL databases High proficiency in Python, Pyspark, SQL and/or Scala Experience in designing and implementing ETL processes Experience in managing data pipelines for analytics and operational use Strong understanding of in-memory processing and data formats (Avro, Parquet, Json etc.) Experience or knowledge of AWS cloud services: EC2, MSK, S3, RDS, SNS, SQS Experience or knowledge of stream-processing systems: i.e., Storm, Spark-Structured-Streaming, Kafka consumers. Experience or knowledge of data pipeline and workflow management tools: i.e., Apache Airflow, AWS Data Pipeline Experience or knowledge of big data tools: i.e., Hadoop, Spark, Kafka. Experience or knowledge of software engineering tools/practices: i.e., Github, VSCode, CI/CD Experience or knowledge in data observability and monitoring Hands-on experience in designing and maintaining data schema life-cycles. Bonus - Experience in tools like Databricks, Snowflake and Thoughtspot

Role Description How many times do you get the opportunity to be on the ground floor of a big and important mission? What if you could be one of the top contributors defining the mission, guiding our teams, and influencing the direction of Dropbox's AI-first journey? As a Staff Data Scientist for this new division, you will get to do exactly that. You will join a team of top-tier data scientists and become an integral part of the product organization, helping to scale this new business. Joining on the ground floor of this startup team, you'll partner directly with the Head of Data Science and Product, Engineering and Design leadership to shape the product roadmap, foster a top-tier, data-informed culture, and drive real AI/ML impact and execution along the way! Responsibilities Partner with Product Engineers and Data Engineers to build the reliable, efficient, and scalable data foundations, tools, and processes to drive our AI/ML capabilities' long-term growth Leverage data-driven insights to proactively identify most impactful opportunities, and directly influence product roadmaps and strategies Perform exploratory and deep-dive analysis to understand user workflows and engagement patterns on AI features, propose hypothesis, and design & execute experiments with great rigor and efficient data techniques Translate complex data insights into implications and recommendations for the business via excellent communication skills, both verbal and written Identify what matters most and prioritize ruthlessly for the area you will own Contribute to a culture of strong technical ownership, coach junior Data scientists in the team, and partner with Head of Data Science to keep evolving DS working model and elevate DS impact Work with cross-functional teams (including Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 9+ years experience of leveraging data-driven analysis to influence product roadmap and business decision, preferably in a tech company Proven track record of being able to work independently, driver measurable business impact, and proactively engage with business stakeholders with minimal direction Proficiency in SQL, Python or other programming/scripting languages Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Ability to provide data insights and recommendations for 0→1 product even when sample size is small Strong verbal and written communication skills Preferred Qualifications Experience in startups or building 0→1 products Expertise in using data to inform AI/ML product development Background in SaaS product and growth analytics Compensation US Zone 1$225,700-$305,300 USDUS Zone 2$203,200-$274,900 USDUS Zone 3$180,500-$244,300 USD

Role Description We're looking for a Staff Data Scientist to partner with product, engineering, and design teams to answer key questions and drive impact in the Core Experience and Artificial Intelligence (AI) areas. This area focuses on improving key part of the core product through re-envisioning the home experience, cross platform experience, user onboarding, and building new functionality and launching high impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle, behavior analysis, and customer segmentation. We're looking for someone who can bring opinions and strong narrative framing to proactively influence the business. Responsibilities Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Identify opportunities, advocate for new solutions and build momentum cross-functionally to move ideas forward tha tare grounded in data. Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 8+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Strong leadership and influence skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$203,200-$274,900 USDUS Zone 3$180,500-$244,300 USD

Role Description We're looking for a Data Scientist to partner with product, engineering, and design teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high-impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company. Responsibilities Develop a deep understanding of customer journey phases and key business metrics Perform analytical deep-dives to analyze problems and opportunities, identify the hypothesis and design & execute experiments Inform future experimentation design and roadmaps by performing exploratory analysis to understand user engagement behavior and derive insights Create personalized segmentation strategies leveraging propensity models to enable targeting of offers and experiences based on user attributes Identify key trends and build automated reporting & executive-facing dashboards to track the progress of acquisition, monetization, and engagement trends. Extract actionable insights through analyzing large, complex, multi-dimensional customer behavior data sets Monitor and analyze a high volume of experiments designed to optimize the product for user experience and revenue & promote best practices for multivariate experiments Translate complex concepts into implications for the business via excellent communication skills, both verbal and written Understand what matters most and prioritize ruthlessly Work with cross-functional teams (including Data Science, Marketing, Product, Engineering, Design, User Research, and senior executives) to rapidly execute and iterate Requirements Bachelors' or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field 3-5 years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction Significant experience with SQL and large unstructured datasets such as Hadoop Deep understanding of statistical analysis, experimentation design, and common analytical techniques like regression, decision trees Solid background in running multivariate experiments to optimize a product or revenue flow Strong verbal and written communication skills Proficiency in programming/scripting and knowledge of statistical packages like R or Python is a plus Preferred Qualifications Product analytics experience in a SAAS company Masters' or above in a quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field Compensation US Zone 1 This role is not available in Zone 1 US Zone 2$149,200-$201,800 USDUS Zone 3$132,600-$179,400 USD

Who We Are Ready to create a healthier world? We are ready for you! Personify Health is on a mission to simplify and personalize the health experience to improve health and reduce costs for companies and their people. At Personify Health, we believe in offering total rewards, flexible opportunities, and a diverse inclusive community, where every voice matters. Together, we're shaping a healthier, more engaged future. Responsibilities Ready to Transform Data Into Product Strategies That Drive Member Outcomes? We're seeking a strategic analytics leader who can combine deep technical expertise with product strategy insight to develop scalable frameworks and advanced analytics. As our Lead Product Data Scientist, you'll serve as the primary analytics partner for product leadership while designing experimentation models that empower teams and inform company-level decisions. What makes this role different ✓ Strategic partnership: Act as primary analytics partner to senior product leadership, setting frameworks for KPI definition, tracking, and evaluation ✓ Advanced modeling expertise: Create predictive and causal inference models that anticipate feature impact, engagement, and health outcomes ✓ Cross-functional influence: Serve as senior analytics thought leader, influencing roadmap prioritization and portfolio investment decisions ✓ Scalable impact: Build self-service tools and dashboards that empower teams while setting enterprise-level analytics standards What You'll Actually Do Drive product analytics strategy (40%): Act as primary analytics partner to senior leadership, developing advanced product funnel and user behavior models that identify patterns unlocking new opportunities. Architect experimentation frameworks (30%): Design and evaluate A/B and multivariate tests with statistical rigor while creating predictive models for feature impact and long-term engagement. Lead cross-functional influence (20%): Translate analytical findings into executive-level narratives that drive confident, data-backed decisions while facilitating workshops that raise data fluency across teams. Ensure technical excellence (10%): Partner with Data Engineering to optimize analytics-ready pipelines while establishing best practices and reusable libraries for SQL, Python, and experimentation templates. Qualifications What You Bring to Our Mission The technical foundation: Advanced SQL skills for complex query design and optimization Deep proficiency in Python with libraries like pandas, numpy, scikit-learn for modeling and analysis Strong grounding in statistical inference, hypothesis testing, and causal modeling Expertise with experimentation platforms and product analytics tools (Amplitude, Mixpanel, Heap) The strategic expertise: 5-8+ years leading product analytics or data science initiatives in SaaS, healthcare, or consumer tech Proven track record informing product strategy through analysis and experimentation Experience defining, evolving, and scaling product KPIs and measurement frameworks Demonstrated success influencing product and company-level decisions with data Experience partnering with product managers, digital user flows and funnels The leadership competencies: Ability to coach and raise data fluency of product managers, designers, and business leaders Strong executive communication and storytelling skills with comfort presenting to leadership teams Track record building scalable analytics frameworks that multiply impact across teams Experience in agile product environments with direct contribution to roadmap shaping The technical stack experience: Languages/Analytics: SQL, Python, R Visualization: MicroStrategy, Tableau, Looker, PowerBI Infrastructure: AWS, Snowflake, dbt Product Analytics: Amplitude, Mixpanel, Heap, Pendo Collaboration: Jira, Confluence, Teams The preferred qualifications: Background in healthcare, digital health, or wellness tech ecosystems Experience applying machine learning techniques to personalization or member engagement Familiarity with journey analytics, health outcomes measures, or value-based care metrics Demonstrated thought leadership in product data science communities or forums Why You'll Love It Here We believe in total rewards that actually matter-not just competitive packages, but benefits that support how you want to live and work. Your wellbeing comes first: Comprehensive medical and dental coverage through our own health solutions (yes, we use what we build!) Mental health support and wellness programs designed by experts who get it Flexible work arrangements that fit your life, not the other way around Financial security that makes sense: Retirement planning support to help you build real wealth for the future Basic Life and AD&D Insurance plus Short-Term and Long-Term Disability protection Employee savings programs and voluntary benefits like Critical Illness and Hospital Indemnity coverage Growth without limits: Professional development opportunities and clear career progression paths Mentorship from industry leaders who want to see you succeed Learning budget to invest in skills that matter to your future A culture that energizes: People Matter: Inclusive community where every voice matters and diverse perspectives drive innovation One Team One Dream: Collaborative environment where we celebrate wins together and support each other through challenges We Deliver: Mission-driven work that creates real impact on people's health and wellbeing, with clear accountability for results Grow Forward: Continuous learning mindset with team events, recognition programs, and celebrations that make work genuinely enjoyable The practical stuff: Competitive base salary plus commission structure that rewards your success Unlimited PTO policy because rest and recharge time is non-negotiable Benefits effective day one-because you shouldn't have to wait to be taken care of Ready to create a healthier world? We're ready for you. No candidate will meet every single qualification listed. If your experience looks different but you think you can bring value to this role, we'd love to learn more about you. Personify Health is an equal opportunity organization and is committed to diversity, inclusion, equity, and social justice. In compliance with all states and cities that require transparency of pay, the base compensation for this position ranges from $130,000 to $170,000 annually. Note that compensation may vary based on location, skills, and experience. This position is eligible for 10% target bonus/variable compensation as well as health, dental, vision, mental health and other benefits. We strive to cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive. Personify Health is committed to driving Diversity, Equity, Inclusion and Belonging (DEIB) for all stakeholders: employees (at each organization level), members, clients and the communities in which we operate. Diversity is core to who we are and critical to our work in health and wellbeing. #WeAreHiring #PersonifyHealth Beware of Hiring Scams: Personify Health will never ask for payment or sensitive personal information such as social security numbers during the hiring process. All official communication will come from a verified company email address. If you receive suspicious requests or communications, please report them to **************************. All of our legitimate openings can be found on the Personify Health Career Site.

Department Data Employment Type Full Time Location US Workplace type Fully remote Reporting To Gordon Wong Key Responsibilities Skills, Knowledge and Expertise Benefits About Newfire Global Partners Newfire Global Partners is a leading custom software development company that specializes in working on complex problems. With a strong focus on meeting the unique needs of each organization, they connect clients with local leaders and trusted remote teams to deliver exceptional IT services and software development solutions. Their range of expertise spans various domains, including Data & Analytics, AI/ML, Software Engineering, Product Management, and Marketing. By leveraging recent innovations in artificial intelligence, Newfire Global Partners ensures that their clients can transform the new normal into a competitive advantage. Through their advisory services, experienced leaders guide businesses through transformations and de-risk operations throughout the entire lifecycle. They also offer talent augmentation, bringing together highly skilled professionals from multi-disciplinary teams to support software, product, and marketing needs. Newfire Global Partners is committed to providing excellent service and driving client growth. Their team of industry experts works closely with organizations, whether it's driving transformation, building from scratch, or getting things done efficiently. Trusted by VC & PE firms, established businesses, and startups, Newfire Global Partners is proud to be a reliable partner in various industries, including healthcare, enterprise, and fintech. Partner with Newfire Global Partners today and unlock the expertise that accelerates success.

Job DescriptionDescription: Paylocity is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce. The company has become one of the fastest-growing HCM software providers worldwide by offering an intuitive, easy-to-use product suite that helps businesses automate and streamline HR and payroll processes, attract and retain talent, and build a strong workplace culture. While traditional HR and payroll providers automate basic HR processes such as payroll and benefits administration, Paylocity goes further by developing tools that HR and businesses need to compete for talent and deliver against the expectations of the modern workforce. We give our employees what they need to succeed, including great benefits and perks! We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that support you, your family, and your finances. And if it's career development you desire, we provide that, too! At Paylocity, people matter most and have always been at the heart of our business. Help Paylocity enhance communication and enable employees to connect, collaborate, and create from anywhere with a position in Product & Technology! Want to develop the strategies and principles needed to deliver compelling software? Join our team and help us enhance our all-in-one software platform, elevate our one-of-a-kind technology, and improve the employee experience. Take your career to the next level at one of G2's Top 100 Software Companies. Explore our Product & Technology positions to see where you fit! This is a fully remote position, allowing you to work from home or location of record within the U.S. with no in-office requirements.? You must be available five days per week during designated work hours.? The work arrangement for this role is subject to change based on business needs and individual performance. This may include adjustments to on-site requirements Staff Data Scientist Position Overview Our data science team is responsible for developing AI and machine learning solutions to meet client needs in domains ranging from NLP and supervised learning to time series forecasting and anomaly detection. The team is focused on building high impact software solutions that deliver automation, insights, and assistance to millions of users every day. You can learn more about the type of work we do on our Paylocity AI page(****************************************** ). As a Staff Data Scientist, you will help Paylocity discover the information hidden in vast amounts of data, to help our customers make smarter human capital decisions that drive organizational success. Your primary focus will be to apply knowledge of statistics, machine learning, programming, data modeling, to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement Primary Responsibilities The below represents the primary duties of the position, others may be assigned as needed. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Select features, build, and optimize models using machine learning techniques such as time series methods, regression, random forests, gradient boosting, and neural networks • Leverage cutting edge big data technologies on AWS and Microsoft Azure utilizing Databricks and Spark • Collaborate with Product Managers, Enterprise Architects, Software Development Managers, and other leaders to translate complex human capital management challenges into data science projects • Create automated data and modeling pipelines and develop custom performance tracking • Independently build proof-of-concepts and take those concepts from ideation to productization • Work closely with full stack software engineers in an agile product development environment to deliver machine learning software features • Conduct ad-hoc analyses and present results in a clear manner Education and Experience • Advanced degree (Master's or Phd) preferred in computer science, industrial engineering, statistics, industrial organizational psychology, neurology, public policy, linguistics or another quantitative field. Bachelor's degree required. • 6+ years of data science success at software companies • Experience in writing production grade machine learning models in Python • Experience with cloud infrastructure on AWS or Azure • Demonstrated ability to leverage data science to drive business results • Skilled at translating business problems into data science problems and communicating the results to non-technical audiences • Able to work in a collaborative environment with a desire to share your ideas • Able to work independently and complete tasks with high quality, but unafraid to seek out suggestions from other team members • Self-motivated, adaptable, and highly detail oriented Preferred Skills: • Professional or academic experience in HR, social science or psychology • Significant experience with cloud development and infrastructure-as-code tools • Be invested in staying current in data science by applying new technologies and practices Physical requirements • Ability to sit for extended periods: The role requires sitting at a desk or workstation for long periods, typically 7-8 hours a day. • Use of computer and phone systems: The employee must be able to operate a computer, use phone systems, and type. This includes using multiple software programs and inquiries simultaneously. Paylocity is an equal-opportunity employer. Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. At Paylocity, we believe diversity makes us better. We embrace and encourage our employees' differences in age, culture, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion or spiritual belief, sexual orientation, socio-economic status, veteran status, and other characteristics that make our employees unique. We actively cultivate these differences through our employee resource groups (ERGs), employee experiences, perspectives, talents, and approaches to drive innovation in the software and services we provide our customers. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. To request reasonable accommodation in the job application or interview process, please contact accessibility@paylocity.com. This email address is exclusively designated for such requests, aligning with federal and state disability laws. Please do not send resumes to this email address, as they will be removed. The base pay range for this position is $140,700 - $261,300 /yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position is eligible for an annual bonus and restricted stock unit grant based on individual performance in addition to a full range of benefits outlined here. This information is provided per the relevant state and local pay transparency laws for the location in which this position will be performed. Base pay information is based on market location. Applicants should apply via ************************** #LI-Tech #LI-Remote Requirements:

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy. A day in the life (Responsibilities) As a Principal Data Scientist, you'll lead the design and development of scalable ML systems for use cases such as menu recommendation, demand forecasting, offer targeting, and guest personalization. You will serve as a technical thought partner across teams, set best practices, and influence the roadmap for ML-driven products that support key business outcomes. Your work will directly shape strategic decisions and enhance customer experience at scale. Own the full machine learning lifecycle-from problem framing and data exploration to modeling, deployment, and monitoring-for mission-critical initiatives. Design and implement advanced ML and statistical models that improve product performance, operational efficiency, or customer insights. Collaborate with engineers, product managers, and business stakeholders to define project scope, success metrics, and integration strategy. Guide architectural decisions, set modeling standards, and champion best practices for experimentation, validation, and productionization. Mentor other data scientists and raise the technical bar through design reviews, feedback, and sharing domain expertise. Proactively identify areas where data science can create business value and lead cross-functional efforts to drive those opportunities forward. What you'll need to thrive (Requirements) 10+ years of experience in data science with a proven track record of delivering production ML systems that drive measurable impact. Deep focus on mentorship, having leveled up more junior data scientist You've been a technical leader for core data science at Toast Deep knowledge of statistical modeling, machine learning (e.g., tree-based models, time series, deep learning), and model evaluation. Experience working with real-world product data at scale and translating ambiguous problems into well-scoped ML solutions. Experience with distributed data processing and training, real-time inference, and ML Ops frameworks Prior experience mentoring other data scientists or acting as a tech lead. Experience leading experimentation (e.g., A/B testing), causal inference, and real-time decision systems. Proficiency in Python and SQL, and experience with ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow). Strong grasp of software engineering principles including modular design, version control, testing, and CI/CD. Hands-on experience with cloud platforms (preferably AWS), including tools like SageMaker, Athena, Glue, DynamoDB, and Bedrock. Excellent communication skills and the ability to influence both technical and non-technical stakeholders. Strong business acumen with the ability to align technical solutions with company goals. Bonus ingredients* : An advanced degree in Computer Science, Statistics, or a related STEM field is preferred. Familiarity with MLOps tooling for monitoring, drift detection, retraining, and explainability. Experience fine-tuning LLMs and applying reinforcement learning from human feedback (RLHF) to improve model performance and alignment. AI at Toast At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it's a core part of our culture. Our Total Rewards Philosophy We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters' changing needs. Learn more about our benefits at ******************************************** #LI-Remote The base salary range for this role is listed below. The starting salary will be determined based on skills and experience. In addition to base salary, our total rewards components include cash compensation (overtime, bonus/commissions, if eligible), benefits, and equity (if eligible). Pay Range$143,000-$229,000 USD Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient-when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: ********************************************* Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact candidateaccommodations@toasttab.com. ------ For roles in the United States, it is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Ignite is an ISO 9001:2015 and CMMI Services Level 3 certified, Service-Disabled Veteran-Owned Small Business (SDVOSB), headquartered in Huntsville, AL. By design, Ignite is a provider of professional services to customers in educational, federal, and commercial industries and in every action seeks to be the preeminent provider within this business space. Ignite upholds our values of competency, collaboration, innovation, reliability, and results through everything we do. Ignite is currently seeking a driven, detail-oriented Data Scientist to join our team supporting the Space Force Concepts and Technology Delta and Space Warfighter Analysis Center in Colorado Springs, Co. This position can be filled in either Colorado Springs, CO or Huntsville, AL. In this role you will develop and utilize data analysis tools to create complex data sets for evaluating the future of warfare in space. Job Requirements Responsibilities include, but are not limited to: * Development of models and simulation runs for logistics analysis. * Development of software tools for data ingestion, storage, processing and analysis. * Development of advanced Machine Learning (ML) and Artificial Intelligence (AI) architectures and use cases in support of customer needs. * Development of presentation materials and demonstrations for internal and external stakeholders. * Development of Open-Source Intelligence tools * Development of advanced visualizations for data and network analyses Job Requirements and Qualifications: * One to five years of experience in data science or related field. * Strong Python knowledge and familiarity * Experience using FastAPI and ETL pipelines * Experience with ReactJS /JavaScript * Git/GitLab experience with version control * Data visualization using Matplotlib/Seaborn * OSINT Tooling (Playwright/BeautifulSoup) * Familiarity with MongoDB or other NoSQL schema * Microsoft Office skills * Basic professionalism Security Clearance Requirements: Must have an active Secret Security Clearance or the ability to obtain one. Top Secret Clearance is a plus. Education Requirements: * Bachelor's of Science or Masters of Science in Data Science, Data Engineering, Statistics, Software Engineer, Artificial Intelligence or a related field. Other Requirements: Must be a US citizen and be able to obtain and hold an active Security Clearance Salary Range: $90k - $140k We are equal opportunity/affirmative action employers, committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status, or any other protected characteristic under state or local law. Accommodation Request: If you are a qualified individual with a disability or are a disabled veteran and are unable or limited in your ability to use or access our Careers sites as a result of your disability, you have the right to receive assistance in completing the application process. Please send your request to **********************

VERSANT is a leading force in news, sports and entertainment - home to iconic and trusted brands that inspire, inform, and delight audiences. Our unique combination of content, technology and services enriches the cultural fabric, igniting passions, sparking conversations, and connecting people to what they love most. As an independent, publicly traded company, VERSANT brings together powerhouse cable networks - including USA Network, CNBC, MS NOW (formerly MSNBC), Oxygen, E!, SYFY, and Golf Channel - with dynamic digital and direct-to-consumer brands such as Fandango, Rotten Tomatoes, GolfNow, GolfPass, and SportsEngine. Together, these businesses reflect our commitment to delivering exceptional experiences across every screen and service. VERSANT is an industry-changing media company fueled by innovation and an entrepreneurial spirit. With a strong foundation and a forward-looking vision, VERSANT empowers creativity, embraces change, and drives connection in an ever-evolving world. Job Description We are looking for a Lead Data Scientist to spearhead data science initiative focused on media and cable networks. In this role, you will develop and optimize data-driven engagement and retention models to minimize subscriber churn and accelerate subscription growth. You will collaborate closely with business stakeholders to gather requirements, translate business needs into technical solutions, and clearly communicate insights and recommendations to non-technical leadership. Your work will directly influence marketing, content, and pricing strategies to improve customer retention and lifetime value. Job Duties Leverage structured and unstructured data from various media and entertainment sources to prepare datasets for advanced analytics and modeling. Develop and deliver impactful analytical tools and solutions leveraging statistical modeling, machine learning, and data science to uncover business insights and support strategic decision-making. Design and apply advanced predictive and machine learning models; including clustering (K-means, hierarchical), classification (KNN, Naive Bayes, CART), time series forecasting, logistic regression, and econometric models to optimize pricing strategies, assess price elasticity, segment customers, and enhance revenue across channels. Leverage generative AI and large language models (LLMs) to develop and implement personalized content and messaging strategies across diverse media channels, enhancing audience engagement and campaign effectiveness. Assess and validate statistical models using appropriate performance metrics to ensure precision and accuracy such as accuracy, sensitivity, specificity, ROC, AUC. Analyze consumer behavior trends and shifts across various digital touchpoints; perform cross-channel attribution analysis to inform targeted retention strategies. Monitor and analyze key engagement metrics to assess the performance of subscriber onboarding programs and their impact on long-term retention. Interpret complex analytical insights and translate them into clear, actionable business strategies that improve business outcomes. Support scalable deployment of data products by following best practices in CI/CD processes and contribute to agile project management through tools like Jira for sprint planning, tracking, and team coordination. Collaborate cross-functionally with technical and non-technical stakeholders to gather requirements, define project scope, and lead data science initiatives, demonstrating strong communication, leadership, and team-building skills. Qualifications Master's or PhD in data Science, statistics, computer science, or related quantitative field 5+ years' experience in data science roles with demonstrated impact on retention, engagement, or churn reduction Advanced skills in Python/R, SQL, and experience with ML libraries (scikit-learn, XGBoost, TensorFlow/PyTorch) Strong background in building predictive churn models, CLV, causal inference and uplift modeling Leverage cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Spark, Hive, Databricks), staying current with evolving technologies and Databricks' architecture for scalable data science workflows Desired Qualifications Familiarity with third party data such as com Score, Nielsen, IMDb, Gracenote, or similar platforms to enhance content performance analysis and audience insights is a plus Experience in content analytics within subscription-based media and direct-to-consumer (DTC) products Experience building personalization engines or recommendation systems in digital subscription environments. Additional Information: Travel may be required for this position for company or department meetings. Hybrid: This position has been designated as hybrid, generally contributing from the office a minimum of three days per week. Subject to change based on Manager discussion or business need. This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other benefits and perks. Additional Information As part of our selection process, external candidates may be required to attend an in-person interview with a VERSANT employee at one of our locations prior to a hiring decision. VERSANT's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to candidateaccessibility@versantmedia.com. VERSANT is committed to fair and equitable compensation practices. We include a good faith pay range for each position to comply with applicable state and local pay transparency laws and to promote equity across our organization. Actual compensation will be based on factors such as the candidate's skills, qualifications, experience, and location and may include additional forms of compensation and benefits such as health insurance, retirement plans, paid time off, etc.

Noblesoft Solutions is a certified member of the National Minority Supplier Diversity Council (NMSDC) and is also a certified Minority Business Enterprise. We are headquartered outside Philadelphia, PA with employees located in over 15 states. As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business challenges through strategic consulting services, innovative offerings and industry-specific solutions built on the latest technologies. Since our inception, it has been the company's mission and commitment to provide the highest level of quality, integrity and dependability to its clients. Noblesoft has successfully implemented solutions for customers across a range of industries including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing efficiency, shortening the development life cycle and delivering high-quality end products. Our History After years of working as integrators for PeopleSoft Inc. and Big 5 consulting firms, Noblesoft was formed as consulting firm with a model of delivering high profile solutions for our clients across the country. Job Description This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus. Data Scientist • Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required • Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks • Implementing processes that improve and lead to greater data quality • Conducting statistical analyses to develop strategies • Documenting all processes and research • Building new algorithms and model training • Executing projects involving analytics • Identifying data patterns and trends • Analyzing data to develop predictive models • Creating, managing, and maintaining analytically rigorous data • Possessing a solid machine learning foundation • Proven record of successful statistical product delivery • Ability to execute health insurance use cases via statistical applications such as R or Python • Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark) • Significant experience with SQL and working with large datasets required • Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate • Noting anomaly detection and running diagnostics • Performing graphical model analysis • Strong verbal and written communication skills Additional Information Candidates would Roll Perm at some point

360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement. Job Description We are looking to fill a position for Data Scientist in Juno Beach FL. Qualifications • Experience as a Data Scientist (5+ years); • Experience with regression and classification techniques (RF, SVM, LR, time-series models, etc); • Experience with statistical analysis packages (R, Python, STRATA, Matlab, etc); • Bachelor's degree in engineering, applied math, physics, statistics or computer science is required; • Master's degree/ Doctoral degree (preferred). Additional Information In person interview is acceptable.

Charter Global is a global Information Technology and Solutions provider with more than 19 years of proven track record in gaining customer confidence. We support our customer needs in Asia-Pacific, Europe and the Americas (North and Latin). Our customers are in a variety of vertical industries: Energy, Finance, Healthcare, Government, Retail, Fulfillment Logistics, Manufacturing and Telecom. Charter Global has honed the processes, methodologies, tools and functions to deliver software services via a Global Delivery Model which blends in local and remote resources to get the job done - consistently Here is the Job details: Title: Data Scientist Location: Atlanta, GA / Dallas, TX Duration: 12+ Months Job Description: · Oversees and performs end-top-end data based research. Design data mining solutions to be implemented and executed with alignment to the planned scope and design coverage and needs/uses, leveraging knowledge and a broad understanding of E2E business processes and requirements. · Defines the data analytics research plan, scope and resources required to meet the objectives of his/her area of ownership (segments of the project/engagement). This includes:- Analyzing the data and identifying data sources- Determining appropriate types of data analytics to be performed- Selecting and applying data analysis techniques to ensure that recommendations and predictions provide an adequate level of confidence based on defined coverage criteria- Designing repeatable, verifiable and traceable analytical models · Identifies and analyses new data analytic directions and their potential business impact to determine the proper prioritization of data analytics activities based on business needs and analytics ROI. · Identifies data sources, oversees the data collection process and designs the data structure in collaboration with data experts (BI or big-data) and subject matter and business experts. Ensures that data used in the data analysis activities are of the highest quality. · Constructs data models (algorithms and formulas) for required business needs and predictions. · Works closely with content experts and managers to pinpoint queries, map data, and validate results. Maintains and enhances the professional and business relationship with internal stakeholders. · Facilitates presentations on how to use the data. Offers practical solutions to be used by the end decision makers. · Presents results, including the preparation of patents and white papers and facilitating presentations during conferences. · Effectively participates in and/or leads formal and informal reviews with stakeholders, applying knowledge and experience and providing insights from a professional perspective. · Prepares results in such a way they will be convenient for use. Provides professional support for team members and keeps them informed of assignments/ project status. Provides for training and support for other team members. · Explores and examines data from multiple sources. The Data Scientist sifts through all incoming data with the goal of discovering previously hidden insights, which, in turn, can provide a competitive advantage or address a pressing business problem. A Data Scientist does not simply collect and report on data, but also looks at it from many angles, determines what it means, and then recommends ways to apply the data. · Participates in technical designs of the wrapped product, which will run the model. Ensures that the model is properly used, that data inputs are supplied correctly and in a timely manner. Verifies that the correct data population is being processed. Ensures that that the output of the model is used correctly and that business objectives are being targeted. · Participates in the development stages of the wrapped product, including design, development, QA, implementation and production. This is particularly critical when the Development and Implementation teams find it difficult to understand and evaluate the model's objectives and benefits) Critical Experiences : · Masters in mathematics, statistics or computer science or related field - Ph D. degree preferred · 5 or more years of relevant quantitative and qualitative research and analytics experience · Solid knowledge of statistical techniques · The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets · Strong programming skills (such as Hadoop MapReduce or other big data frameworks, Java), statistical modeling (like SAS or R) · Experience using machine learning algorithms · High proficiency in the use of statistical packages · Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms · Strong communication and interpersonal skills · Knowledge of telecommunications and of the subject area being investigated - advantage. Additional Information Technical Expertise

Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science & healthcare industries. Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep technology and domain experts, and global teams. Incedo University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect or a domain expert based on your skills and interests. Our Mission is to enable our clients to maximize business impact from technology by Harnessing the transformational impact of emerging technologies Bridging the gap between business and technology Role Description Role Description: As a Senior Data Science and Modeling Specialist at Incedo, you will be responsible for developing and deploying predictive models and machine learning algorithms to support business decision-making. You will work with data scientists, data engineers, and business analysts to understand business requirements and develop data-driven solutions. You will be skilled in programming languages such as Python or R and have experience in data science tools such as TensorFlow or Keras. You will be responsible for ensuring that models are accurate, efficient, and scalable. Roles & Responsibilities: • Developing and implementing machine learning models and algorithms to solve complex business problems • Conducting data analysis and modeling using statistical and data analysis tools • Collaborating with other teams to ensure the consistency and integrity of data • Providing guidance and mentorship to junior data science and modeling specialists • Presenting findings and recommendations to stakeholders Technical Skills Skills Requirements: Proficiency in statistical analysis techniques such as regression analysis, hypothesis testing, or time-series analysis. Knowledge of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with data wrangling and data cleaning techniques using tools such as Python, R, or SQL. Understanding of big data technologies such as Hadoop, Spark, or Hive. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred Company Value We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.