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Staff Data Scientist – Sales Analytics Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. About the Role As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth. Key Responsibilities • Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections., • Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives., • Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects., • Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions., • Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting., • Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations. About You • Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments., • Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions., • Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy., • Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams., • Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

Staff Data Scientist – Post Sales Location: San Francisco (Hybrid) Salary: $200–250k base + RSUs This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth. About the Role As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention. Key Responsibilities • Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring., • Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value., • Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion., • Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn., • Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals., • Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams., • Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions. About You • Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment., • Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning., • Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring., • Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy., • Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders., • Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development Position Overview: The Research Associate III/ Senior Research Associate in Assay Development and Bioanalytical Development will play a critical role in the development, qualification, and validation of bioanalytical methods to support our RNA editing programs. The successful candidate will work under the guidance of an assay development scientist to develop custom assays for the analysis of samples, including AAVs, cells, and tissues. This role also involves drafting key documents such as Standard Operating Procedures (SOPs) and method development reports. Key Responsibilities: • Method Development, Qualification, and Validation:, • Support the development, qualification, and validation of bioanalytical methods in accordance with regulatory guidelines., • Develop, optimize, and execute robust bioanalytical methods for the characterization, release, and stability testing of Amber's gene therapy., • Sample Analysis:, • Support drug absorption, distribution, metabolism, and excretion studies., • Perform analysis of AAVs, cells, and tissues to support various stages of research and development., • Lead efforts to streamline and optimize sample storage and processing, as well as establishing and maintaining critical reagent stocks and cell banks., • Documentation Reporting:, • Draft and review key documents such as SOPs, method development, and sample analysis reports., • Maintain accurate and detailed records of all experiments and analyses., • Collaboration & Communication, • Collaborate with manufacturing and preclinical teams to support pipeline needs., • Communicate and present findings clearly to internal stakeholders. Qualifications: • B.A./B.S. or M.S. in Molecular Biology, Biochemistry, Analytical Chemistry, or a related field., • 3+ years of experience in bioanalytical and assay development in the biotechnology or pharmaceutical industry., • Demonstrated strong proficiency in a wide range of molecular biology techniques such as molecular cloning, DNA/RNA extractions, RT-qPCR, ddPCR, and ELISA., • Experience with cell-based assays and detection methods such as fluorescence, luminescence, and ECL., • Hands-on experience using laboratory automated systems (e.g., liquid handlers, extraction robotics, etc.)., • Background in RNA-based therapies is highly desirable., • Experience writing SOPs and reports supporting IND filings (e.g. development, qualification sample analysis reports, etc.), • Knowledge of FDA and ICH guidelines for method development, qualification, and validation., • Prior history in compiling and analyzing data and generating reports that are routinely presented to project teams., • Ability to work effectively in a collaborative, fast-paced environment. Preference will be given to those who display: • High motivation, with a strong work ethic and dedication to generating impact., • Attention to detail, with the ability to extract deep insights from data., • Ability to go from ideation to data in an independent fashion., • Long-term personal vision with defined career goals., • Team-oriented thinking., • Demonstrated excellence in small team environments, including a “no task is too small” attitude. If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

Amber Bio is a biotechnology company pioneering new gene editing modalities using multi-kilobase edits to reach previously undruggable patient populations. Founded by pioneers in the CRISPR field from leading institutions for gene editing research, the company is developing a first-of-its-kind RNA editing platform that can correct thousands of bases at once, thereby correcting genetic mutations safely and reversibly. If you are interested in building a new frontier in genetic medicine, we welcome you to apply. Job Description: Research Associate III/ Senior Research Associate (Biodesigner), Assay Development / Bioanalytical Development Position Overview: The Research Associate III/ Senior Research Associate in Assay Development and Bioanalytical Development will play a critical role in the development, qualification, and validation of bioanalytical methods to support our RNA editing programs. The successful candidate will work under the guidance of an assay development scientist to develop custom assays for the analysis of samples, including AAVs, cells, and tissues. This role also involves drafting key documents such as Standard Operating Procedures (SOPs) and method development reports. Key Responsibilities: • Method Development, Qualification, and Validation:, • Support the development, qualification, and validation of bioanalytical methods in accordance with regulatory guidelines., • Develop, optimize, and execute robust bioanalytical methods for the characterization, release, and stability testing of Amber's gene therapy., • Sample Analysis:, • Support drug absorption, distribution, metabolism, and excretion studies., • Perform analysis of AAVs, cells, and tissues to support various stages of research and development., • Lead efforts to streamline and optimize sample storage and processing, as well as establishing and maintaining critical reagent stocks and cell banks., • Documentation Reporting:, • Draft and review key documents such as SOPs, method development, and sample analysis reports., • Maintain accurate and detailed records of all experiments and analyses., • Collaboration & Communication, • Collaborate with manufacturing and preclinical teams to support pipeline needs., • Communicate and present findings clearly to internal stakeholders. Qualifications: • B.A./B.S. or M.S. in Molecular Biology, Biochemistry, Analytical Chemistry, or a related field., • 3+ years of experience in bioanalytical and assay development in the biotechnology or pharmaceutical industry., • Demonstrated strong proficiency in a wide range of molecular biology techniques such as molecular cloning, DNA/RNA extractions, RT-qPCR, ddPCR, and ELISA., • Experience with cell-based assays and detection methods such as fluorescence, luminescence, and ECL., • Hands-on experience using laboratory automated systems (e.g., liquid handlers, extraction robotics, etc.)., • Background in RNA-based therapies is highly desirable., • Experience writing SOPs and reports supporting IND filings (e.g. development, qualification sample analysis reports, etc.), • Knowledge of FDA and ICH guidelines for method development, qualification, and validation., • Prior history in compiling and analyzing data and generating reports that are routinely presented to project teams., • Ability to work effectively in a collaborative, fast-paced environment. Preference will be given to those who display: • High motivation, with a strong work ethic and dedication to generating impact., • Attention to detail, with the ability to extract deep insights from data., • Ability to go from ideation to data in an independent fashion., • Long-term personal vision with defined career goals., • Team-oriented thinking., • Demonstrated excellence in small team environments, including a “no task is too small” attitude. If you have a passion for advancing gene editing technologies and desire to be part of a pioneering biotech company, we encourage you to apply and join our ambitious team. Please apply directly through LinkedIn. Amber Bio is an equal-opportunity employer and encourages applications from candidates of diverse backgrounds. We value diversity and are committed to creating an inclusive and supportive work environment for all employees.

Job DescriptionSalary: Data Scientist (Dublin, CA) SavvyMoney is a leading San Francisco East Bay fintech company. We provide integrated credit score and personal finance solutions to 1,500 + bank and credit union partners nationally. The SavvyMoney solutions integrate with more than 43 digital banking platforms. SavvyMoney was recently recognized by the San Francisco Business Times and the Silicon Valley Journal as one of the "Top 25 Places to Work in the San Francisco Bay Area" and is an Inc. 5000 Fastest Growing Company. Were headquartered in Dublin, CA, and offer a flexible hybrid work environment that blends in-office collaboration with the freedom of remote work. We are seeking a seasoned Data Scientist to join our team and lead initiatives in predictive modeling, personalization, and AI-driven financial recommendations. This individual will play a key role in building models that power personalized marketing, loan offers, credit improvement strategies, and next-best-action recommendations. The role requires expertise in data analysis to uncover business opportunities, traditional machine learning methods (tree-based models, neural networks) and emerging techniques, including Large Language Models (LLMs). You will collaborate closely with engineering to deploy models into scalable, low-latency production environments, as well as work with business and product stakeholders to generate ad-hoc analytics and actionable insights. Responsibilities • Perform exploratory and statistical data analysis to identify opportunities for model development and business optimization, • Design, build, and optimize machine learning models for:, • Marketing propensity modeling, • Personalized loan offers and recommendations, • Next-best-action predictions for improving credit scores, • Prototype solutions using advanced AI techniques to accelerate experimentation, • Partner with engineering teams to productionize models in a scalable and latency-conscious environment, • Query and analyze large datasets to uncover business insights and support decision-making, • Collaborate with business and product stakeholders to define problems, scope analyses, and deliver ad-hoc reports and dashboards, • Develop reusable frameworks, pipelines, and tools to accelerate model development and deployment, • Document methodologies, models, and assumptions to ensure clarity, reproducibility, and knowledge sharing, • Follow ethical AI principles and established guardrails to ensure fairness, transparency, and unbiased predictions. Experience • Masters or PhD in Computer Science, Statistics, Data Science, or related field (or equivalent experience), • 6+ years of professional experience in data science or machine learning, ideally in fintech, financial services, or a B2B2C environment, • Strong proficiency in SQL and Python (pandas, scikit-learn, PyTorch, TensorFlow, XGBoost, etc.), • Hands-on experience with tree-based models (XGBoost, LightGBM, CatBoost) and neural networks, • Proficiency in notebooks (Jupyter, Colab, etc.) and deep learning frameworks such as TensorFlow and PyTorch for model development, • Familiarity with LLMs and generative AI frameworks (HuggingFace, LangChain, OpenAI APIs, etc.), • Experience deploying machine learning models into production environments with considerations for scalability and latency, • Strong business acumen with the ability to translate complex analytical outputs into actionable recommendations, • Excellent communication skills to collaborate with both technical and non-technical stakeholders Preferred Experience • Experience with cloud-based platforms (AWS, GCP, or Azure) for model training and deployment, • Knowledge of MLOps tools and practices (MLflow, Airflow, Kubeflow, Docker, etc.), • Understanding of credit risk modeling, financial products, or consumer lending., • Experience working with APIs, real-time scoring, and event-driven architectures. Why Join Us? • High Impact: Your models will directly shape how people access loans, improve credit scores, and receive personalized financial recommendations, • Innovation-First Culture: From tree-based models to neural networks and LLMs, youll have the freedom to prototype with state-of-the-art techniques and put them in action, • Cross-Functional Collaboration: Work closely with product, engineering, and business leaders to take ideas from prototype to production., • Mission-Driven: Help democratize financial wellness and unlock opportunities for millions. Base Salary The annual base salary for this position is between $160,000 to $185,000 depending upon experience. Additionally we provide • Annual Bonus potential, • Equity compensation package, • Flexible Time Off Policy (Take time as you need it), • 401(k) with Employer contribution, • Medical, Dental, Vision 100% premium paid for employee, • Opportunity for career growth and challenge, • Beautiful California East Bay offices in Dublin, CA SavvyMoneys EEO Statement SavvyMoney relies on diversity of culture and thought to deliver on our goal of Creative People, Practical solutions serving our client needs, and ensures nondiscrimination in all programs and activities. We continuously seek talented, qualified employees in our operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. SavvyMoney is proud to be an Equal Employment Opportunity/ Affirmative Action Employer. We are committed to protecting your data. To learn more, please review the SavvyMoney Employee Privacy Policy Notice here

Job Description Title: Senior Scientist, Bioanalytical Services Location: Hayward, CA Reports To: Senior Director, Bioanalytical Services Company Frontage Laboratories Inc. is an award winning, publicly listed, full-service CRO/Contract Research Organization operating over 25 state-of-the-art laboratories across the US, Canada, and China, growing significant growth. Our core competencies include pre-clinical, drug metabolism, pharmacokinetics/ pharmacodynamics (PK/PD), safety and toxicology, bioanalytical services, chemistry and manufacturing controls for drug development, and core laboratory services for clinical trials. Position Summary: We are seeking a detail-oriented and highly collaborative Senior Scientist to support client-driven projects using advanced bioanalytical techniques. The successful candidate will manage diverse bioanalytical tasks, ensure project timelines are met, and effectively communicate with project managers, clients, and internal teams. Responsibilities: • Validate unique scientific methods, assays, techniques, reports, etc. Run sensitive, reliable and efficient LC-MS/MS bioanalytical assays for nonclinical/clinical TK/PK assessment, • Perform high-volume sample analysis and/or data analysis, data QC, and data interpretation, • Maintain schedule of projects and timelines, • Communicate project timelines, status, and data to Principle Investigator effectively addressing any issues that may arise, • Simultaneously handle method development routine sample analysis projects as required. Coordinate study activities with Principal Investigator to ensure efficiency and quality, • Ability to work on multiple projects at the same time, • Coordinate with Project Management and QC for timely sample analysis and results assessment Aid in the preparation of study summaries and/or reports, • Maintain the proper level of regulatory compliance for each study, helping to address QA audit findings, • Maintain tools, computer programs, and SOPs required for studies. Research literature and external sources and identify new techniques and procedures that strengthen Frontage’s capabilities, • Help with training and/or mentoring of junior scientific staff. Ensure that GLP regulations and SOPs are followed in all bioanalytical service activities, • Set-up, utilize, and maintain complex instrumentation Follow safety precautions, • Responsible for overall bioanalytical study conduct, timeline, and communications., • Acts as a primary point of study contact, • Responsible for the scientific and compliance conduct of the study from sample receipt through analysis and reporting including archiving and sample disposition and revenue recognition., • Responsible for all technical related discussion and method development, validation and sample analysis., • Direct, schedule, and mentor lab scientists on projects assigned, and results, • Understanding of experimental design and planning, data collection, and analysis software, • Experience using Sciex Analyst software, and Watson LIMS, a plus, • Proven ability to successfully work in a team environment. Excellent oral and written communication skills Frontage Laboratories offers a competitive compensation and generous benefits package including health and dental insurance, a 401(k) plan, health insurance, short and long-term disability insurance, life insurance etc. Frontage Laboratories Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Job Description Title: Scientist Location: Hayward, CA Reports To: Group Leader Company Frontage Laboratories Inc. is an award winning, publicly listed, full-service CRO/Contract Research Organization operating over 25 state-of-the-art laboratories across the US, Canada, and China, growing significant growth. Our core competencies include pre-clinical, drug metabolism, pharmacokinetics/ pharmacodynamics (PK/PD), safety and toxicology, bioanalytical services, chemistry and manufacturing controls for drug development, and core laboratory services for clinical trials. Position/Job Summary We are seeking a highly motivated and experienced Scientist specializing in LC-MS/MS to join our dynamic team. This individual will play a pivotal role in quantitative bioanalysis and the characterization and identification of drug metabolites, contributing to our understanding of DMPK (Drug Metabolism and Pharmacokinetics) and its impact on drug safety and efficacy. Roles & Responsibilities • Develop and optimize sample preparation and analytical methodology for quantitative measurement of drugs in a variety of modalities and metabolite profiling/identification using state-of-the-art LC-MS/MS and high-resolution mass spectrometry (HRMS)., • Lead and execute LC-MS/MS-based projects in a timely and high-quality manner.Interact with clients to provide actionable insights on method development and sample analysis-related challenges., • Operate, maintain, and troubleshooting LC-MS/MS instruments; serve as instrument lead as needed., • Prepare and review scientific reports, presentations, and regulatory documents to ensure accuracy and compliance with industry standards., • Stay updated on advancements in LC-MS/MS technologies and methodologies., • Collaborate with cross-functional teams and provide technical guidance when needed., • Mentor and train junior lab staff. Education, Experience & Skills Required • Ph.D. in Chemistry, Biochemistry, Pharmaceutical Sciences, or a related field., • Solid hands-on experience with LC-MS/MS-based bioanalytical method development including sample preparation, instrument operation and data processing., • Proven track record operating LC-MS/MS systems in a bioanalytical lab, • Strong expertise in drug metabolism and biotransformation, with hands-on experience in metabolite identification using LC-MS/MS and HRMS., • Demonstrated ability to analyze and interpret complex mass spectrometry data and provide detailed reports., • Excellent communication skills and ability to work both independently and collaboratively in a cross-functional team environment. Frontage Laboratories offers a competitive compensation and generous benefits package including health and dental insurance, a 401(k) plan, health insurance, short and long-term disability insurance, life insurance etc Frontage Laboratories Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Job DescriptionTitle: Research Assistant Location: Hayward, CA Reports To: Group Leader Status: Full- Time Company Frontage Laboratories Inc. is an award winning, publicly listed, full-service CRO/Contract Research Organization operating over 25 state-of-the-art laboratories across the US, Canada, and China, growing significant growth. Our core competencies include pre-clinical, drug metabolism, pharmacokinetics/ pharmacodynamics (PK/PD), safety and toxicology, bioanalytical services, chemistry and manufacturing controls for drug development, and core laboratory services for clinical trials. Position/Job Summary: This position will support experiment design, data collection, analysis, troubleshooting, and data reporting within the DMPK department. This includes gathering data on pre-clinical compound parameters using a variety of techniques, organizing and processing the data using statistical and analytical methods to reach meaningful conclusions, and reporting observations to clients and other decision-makers. Roles & Responsibilities: • Report to the senior team leader., • Work and collaborate daily with a group of scientist and associates within the DMPK department., • Maintain a detailed laboratory notebook., • Develop compound methods and collect data using LC-MS/MS and other instrumentations (HPLC, spectrophotometry, etc.), • Conduct day-to-day testing of compounds in biological matrices and/or other solvent systems in a team-oriented environment., • Analyze and interpret data using different software programs (Sciex Analyst, DiscoveryQuant, GraphPad prism, MS Excel, etc.), • Prepare reports and communicate with collaborators and clients., • Multitask, recognize problems, provide input to solutions, draft reports, and communicate results proficiently with clients and in lab meetings., • Contribute to basic lab maintenance such as preparing buffers, cleaning, ordering, stocking, and follow-up., • Communicate and work closely with other groups to finish collaboration projects in a timely manner., • BS or MS in biology, chemistry, or related area., • 0-2 years of related experience in the biotech, pharma or preclinical CRO industry. Working experience with LC-MS/MS, HPLC, bioanalytical studies preferred., • Strong problem solving and troubleshooting skills with demonstrated ability to resolve complex situations that require a logical, analytical and methodical approach., • Self-motivated to multitask, initiate projects, and work both independently and in a team environment to meet deadlines, • Excellent organization and planning skills with attention to detail., • Committed to customer satisfaction and focused on the importance of quality., • Excellent interpersonal and communication skills., • Hands-on exposure to general biotech laboratory equipment. A preferred candidate will have a good understanding and knowledge of laboratory tools, techniques, methods, and underlying principles, • May work with potentially infectious samples of human and/or animal origin (i.e. blood, tissues, etc.). Frontage Laboratories offers a competitive compensation and generous benefits package including health and dental insurance, a 401(k) plan, health insurance, short and long-term disability insurance, life insurance etc Frontage Laboratories Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Staff Data Scientist – Sales Analytics. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. As the senior data scientist supporting Sales and GTM, y

The Staff Data Scientist in the Data Science team will play a crucial role as an architect, leading AI explorations, research, algorithmic solution creation, and fast prototyping aimed to deliver impactful initiatives within the Sam's Club division of Walmart Inc. As the Staff Data Scientist, you wi

Staff Data Scientist Sales Analytics. Were looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. As the senior data scientist supporting Sales and GTM, you wi

Implement models using ML - Ops practice Data Scientist, Data Engineer, Portfolio Manager, AI, Scientist, Lead, Technology.

Staff Data Scientist – Post Sales. As the senior data scientist supporting. Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.

Data Source Identification Requires knowledge of Functional business domain and scenarios Categories of data and where it is held Business data requirements Database technologies and distributed datastores eg SQL NoSQL Data Quality Existing business systems and processes including the key drivers an

Staff Data Scientist Post Sales. As the senior data scientist supporting. Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.

Database Management: Manage and optimize data storage and retrieval using Snowflake, ensuring data integrity and performance. Insight Global Evergreen is seeking a talented Data Scientist to join our dynamic team and contribute to our data analytics and machine learning initiatives. Data Analysis &

Staff Data Scientist Post Sales. As the senior data scientist supporting. Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.

Job Opportunity At Synergisticit.SynergisticIT wants every candidate to know that the job market is challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get the attention which you need.SynergisticIT understands the complex n

Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Staff Data Scientist Sales Analytics. Were looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accel

Seeking a motivated Junior Data Scientist with Data Engineering skills to join our tech clients analytics and engineering teams. This is an exciting opportunity for recent graduates or early-career professionals who are passionate about data, machine learning, and building scalable data pipelines. Y

Staff Data Scientist Post Sales. As the senior data scientist supporting. Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.

As a Lead Data Scientist, you will design and implement advanced AI and machine learning (ML) solutions to enhance decision-making and automation. Develop automated pipelines for collecting, cleaning, and validating structured and unstructured data. Partner with engineering teams to ensure robust da

Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams. Staff Data Scientist Post Sales. As the senior data scientist supporting.

Fresh Cs Grads: Ready To Launch Your Career? Synergisticit Is Built For You.Graduating with a computer science degree is a huge achievement.But let's be honesthaving a degree doesn't always mean you're job-ready.The truth is, many cs grads struggle to land their first role because they lack one thin

Were looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, exper

Job Opportunity At Synergisticit.Synergisticit wants every job seeker to be aware that the job market is challenging and to stand out you need to have exceptional skills and technologies which make you stand out from other job seekers.If your skills and your project work are similar to others then i

As the senior data scientist supporting. Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams. Staff Data Scientist – Post Sales.

Collaborate with cross-functional teams to identify business problems and develop data-driven AI/ML solutions. Develop automated alerting system to ensure quality of the services and data. Develop data visualizations and reports to communicate findings to stakeholders.

Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Staff Data Scientist – Sales Analytics. We're looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to

Launch Your Data Career with Proof, Not PromisesAt Synergisticit. If you're serious about starting a high-impact, high-paying career in Data Science, Analytics, or Engineering, it's time to stop guessing and start choosing results.

Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Staff Data Scientist Sales Analytics. Were looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accel

Job Opportunity At SynergisticIT.At SynergisticIT, we aim to bring aboard IT professionals to help them build a rewarding career in cutting-edge technologies.Being in the industry for more than 10 years, we provide a splendid range of lucrative opportunities to sustain a position in our top tech cli

Collaborate with colleagues in Data Engineering to develop ongoing improvements to data quality, standardized definitions, governance, tools, and approaches. Deep experience in advanced data visualization tools such as Google Data Studio, Tableau, or Power BI which allow you to create rich dashboard

As the senior data scientist supporting. Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams. Staff Data Scientist – Post Sales.

Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models. Data Scientist Job Duties:

As the senior data scientist supporting. Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams. Staff Data Scientist – Post Sales.

Develop interactive dashboards to visualize REMS Assessment data, data quality, and key performance met using Power BI. As a member of the REMS Strategy and Operations department, the Senior Manager, REMS Data Programmer will provide support for FDA mandated Risk Evaluation and Mitigation Strategy (

Staff Data Scientist – Sales Analytics. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel. As the senior data scientist supporting Sales and GTM,

Staff Data Scientist, Membership Growth. You’ll conduct quantitative research to inform product strategy and opportunities, design metrics to help track goals and make decisions, devise learning methods (including experiments) to test hypotheses, and work closely with our machine learning and data

Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Staff Data Scientist – Sales Analytics. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation t

As a Data Scientist on the Platform team, you will drive a data-driven culture for OpenAIs API and B2B solutions. Build source-of-truth dashboards and self-serve data tools for product, engineering, and go-to-market teams. For unincorporated Los Angeles County workers: we reasonably believe that cri

Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Staff Data Scientist – Sales Analytics. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation t

As a Data Scientist on the Infra team, you will play a key role in shaping how we scale the infrastructure that powers OpenAI's products and research. In addition, job duties require access to secure and protected information technology systems and related data security obligations. You should expec

Staff Data Scientist – Post Sales. As the senior data scientist supporting. Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.

As one of the founding Data Scientists on the Strategic Finance Data Science team, you will design, implement, and own critical models, reporting, and analysis. Partnering with Data Engineering, Finance, and other teams, you'll self-serve data to derive critical insights. OpenAI Strategic Finance Da

Staff Data Scientist – Post Sales. As the senior data scientist supporting. Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.

Data Science Individual Contributor. We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques.

Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting. Staff Data Scientist – Sales Analytics. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation t