staff scientist

Stanford University

<p>The Pritchard lab in the Genetics Department at Stanford University is seeking a Staff Scientist (Software Developer 2) to conceptualize, develop, supervise, and implement novel computational approaches for genomics. The successful applicant must have experience in the main areas of application - functional or single cell genomics and/or statistical genetics   as well as strong experience in modern computational statistics and machine learning. This position will be on-site.<br><br></p><p>The successful applicant will have broad responsibility for providing technical direction on multiple projects conducted by the lab as well as leading projects of their own. They will contribute to all phases of project development including conceptualization, design and implementation of algorithms, computational analysis of genomic and other omics data, simulations and testing of code, and preparation of scientific manuscripts and revisions. Strong communication skills (speaking and writing) are essential. The work will require innovative programming and analysis skills with an emphasis on algorithmic development for machine learning and/or statistical computing. Mentoring trainees on technical aspects of their project will be an essential part of this job.<br><br></p><p>Duties include:</p><ul><li>Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications independently.</li><li>Supervise and mentor PhD students and postdocs, as necessary, working on all phases of research projects.</li><li>Engage in long-term strategic planning.</li><li>Troubleshoot and resolve complex technical problems.</li><li>Lead projects, as necessary, for special systems and application development in areas of complex problems.</li><li>Contribute to manuscript preparation and revisions as lead- or co-author.</li><li>Contribute to grant preparation.</li><li>Participate in scientific meetings and journal clubs.</li></ul><p> - Other duties may also be assigned.</p> <p>DESIRED QUALIFICATIONS:</p><p>The successful candidate must have a proven track record of developing state-of-the-art computational methods for data analysis, going all the way from conceptualization and theoretical development to implementation, testing, data analysis, and manuscript preparation. </p><p>They must have outstanding technical skills in machine learning and/or statistical methods with experience in developing new approaches.</p><p>They must have training and research experience (preferably at postdoctoral level) in at least one of the following areas of application: functional genomics, single cell genomics, statistical genetics. </p><p><br>EDUCATION & EXPERIENCE (REQUIRED):</p><p>Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience.</p><p><br>KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):</p><ul><li>Expertise in designing, developing, testing, and deploying applications.</li><li>Proficiency with application design and data modeling.</li><li>Ability to define and solve logical problems for highly technical applications.</li><li>Effective communication skills with both technical and non-technical clients.</li><li>Ability to lead activities on structured team development projects.</li><li>Ability to select, adapt, and effectively use a variety of programming methods.</li><li>Knowledge of application domain. </li></ul><p><br>CERTIFICATIONS & LICENSES:</p><p>None.<br><br></p><p>PHYSICAL REQUIREMENTS :</p><ul><li>Constantly perform desk-based computer tasks.</li><li>Frequently sit, grasp lightly/fine manipulation.</li><li>Occasionally stand/walk, writing by hand.</li><li>Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. </li></ul><p> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.<br><br>WORKING CONDITIONS:</p><ul><li>May work extended hours, evening and weekends.</li><li>The successful candidate will work in-person daily on the Stanford University campus.</li></ul><p><br>The expected pay range for this position is $131,992 to $160,555 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.<br><br></p><p>At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.<br><br>Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.</p><p><br>Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.</p><p><br>The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility.</p><p><br>Employees may also perform other duties as assigned.</p><p><br>WORK STANDARDS (from JDL):</p><ul><li>Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.</li><li>Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.</li><li>Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, .</li></ul><img src="https://www.jobg8.com/Tracking.aspx?v664xeHPeorlLGbhgGKmuNQFsXi4Yb%2fem" width="0" height="0" />

Staff Scientist

Langan Engineering and Environmental Services

<div><p>Langan provides expert land development engineering and environmental consulting services for major developers, renewable energy producers, energy companies, corporations, healthcare systems, colleges/universities, and large infrastructure programs throughout the U.S. and around the world. Our employees collaborate seamlessly among 50+ offices and gain valuable hands-on experience that fosters career growth. Langan culture is entrepreneurial from advancing innovative technical solutions, to participating in robust training and knowledge sharing, to making progressive change within the communities we live and work.</p><br>
<p></p>
<p>
Consistently ranked among the top ten &ldquo;Best Firms to Work For&rdquo; and Engineering News-Record&rsquo;s top 50 firms worldwide, Langan attracts and retains the best talent in the industry. Employees thrive at Langan, a firm that fosters an inclusive and supportive work environment for all; prioritizes wellbeing, health, and safety; encourages volunteerism and philanthropy; offers workplace flexibility, along with carbon-neutral office spaces; and empowers individuals to contribute their skills and knowledge to make impactful contributions.</p><div><div><div><h2 class="jobSectionHeader"><b>
Job Summary</b></h2>
</div><div><p>Langan is seeking a <b>Senior Staff Scientist, Geologist, or Engineer </b>to join its collaborative team in <b>Princeton, NJ.</b> This individual will serve a key function in providing integrated engineering support for land development projects. This may include, but is not limited to, initial site assessments; conducting field tests (civil, environmental, geotechnical and/or natural resources); monitoring construction sites; compiling data and preparing reports; and participation in client meetings. In this role, you will have the opportunity to work on diverse projects, solve problems across Langan's disciplines, and overcome challenges in restoring the environment and returning blighted properties to productive re-use while protecting and enhancing the environment. The position encourages learning, growth, creativity, flexibility, and collaboration in a team environment.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Job Responsibilities</b></h2>
</div><div><ul><li>Assist with the planning and execution of field investigations by performing field tests, collecting samples, collecting and recording data, and performing routine calculations;
</li><li>Monitor complex construction projects by taking various tests to evaluate whether contractor or subcontractor has complied with job specifications;
</li><li>Collect soil, soil vapor, indoor and ambient air, sediment, surface water, and groundwater samples;</li>
<li>Assist with acquisition of and compliance with regulatory agency permits to support site investigation and remediation;</li>
<li>Review and interpret environmental, geological, and historical records to support environmental due diligence;</li>
<li>Prepare a variety of standard logs and field forms (such as drilling logs, field investigation dailies, and chain of custody logs);
</li><li>Identify and implement solutions to both routine and more complex field problems and document them accurately, keeping project manager informed or problems encountered during work assignments;
</li><li>Lead tasks associated with the preparation and modification of various engineering documents including reports, specifications, plans, cost estimates and designs for projects;</li>
<li>Collaborate with interdisciplinary team to prepare integrated solutions to clients;</li>
<li>Perform and manage tasks within specific budgets and schedules. May track task and project budgets;
</li><li>Interact in a professional manner with client and subcontractor representatives in close collaboration with supervisor;
</li><li>Supervise or coordinate the work of staff engineers, interns and others who assist in specific assignments as needed; and
</li><li>Perform other duties as requested.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><ul><li>Bachelor&rsquo;s degree in Environmental Science, Environmental Engineering, Geology or has relevant job experience;</li>
<li>4+ years of related experience in due diligence, contaminated sites investigation, construction oversight, and has collaborated with professionals in engineering feasibility studies, remedial system design and implementation;</li>
<li>For engineers, possession of a valid Professional licensure or ability to obtain within one year;</li>
<li>Experience conducting Phase I, II and III environmental site assessment including drilling observation, sampling, well installation, construction/remediation oversight;</li>
<li>Experience providing litigation support services for expert witness projects, or similar;</li>
<li>In-depth knowledge and understanding of state and federal environmental regulations (including CERCLA and RCRA);</li>
<li>Experience working with state regulatory agencies;</li>
<li>Excellent written and verbal communication skills;</li>
<li>Strong attention to detail with excellent analytical, multitasking, and judgment capabilities;</li>
<li>Ability to effectively work independently and in a team environment;
</li><li>Availability to work overtime as needed; and</li>
<li>Possess reliable transportation for client meetings and job site visits and a valid driver&rsquo;s license in good standing.</li>
</ul></div></div></div><p>
Langan provides a rich array of programs and benefits to help its employees advance their careers and enhance the quality of their lives. Our comprehensive compensation package includes: full-time employment company paid medical, dental, and vision coverage; life insurance, short- and long-term disability insurance, and paid pregnancy disability leave; 401(k)/Roth with company match; paid time off including parental and military leave; employee referral and professional license bonuses; and educational reimbursement.</p><br>
<p></p>
<p>
Langan offers employee resource groups; flexible work schedules; extensive training; wellness programs; buddy and mentoring programs; and much more!</p><br>
<p></p>
<p><b><i>
Langan is committed to providing equal employment opportunities to all qualified applicants and employees, including individuals with disabilities and protected veterans. We believe that an inclusive workplace is essential for the well-being and success of our employees.</i></b></p><br>
<p></p>
<p>
Certain US jurisdictions require Langan to include an estimate of salary or hourly ranges. The estimated range for this role is: $72,000 - $104,000. Actual compensation may vary based on factors such as related work experience, location, market conditions, education/training, certifications and other credentials, as well as applicable knowledge and skills. Certain roles may be eligible for overtime and participation in the firm's annual bonus and performance review program. Bonuses are discretionary and based on individual job performance and the profitability of the firm. Employees are also eligible to receive up to 20 days of paid vacation time, 10 days of paid sick time and 10 paid holidays throughout the year. Eligibility and actual paid time off may vary based on local law and factors such as hours worked, related work experience and level.</p></div>

Senior Staff Scientist or Engineer

Novel Microdevices

<div><p><b>Position Title:</b> Staff Scientist &ndash; Assay Development, Quality, and Manufacturing Support<br>
<b>Department:</b> R&amp;D / Quality / Manufacturing<br>
<b>Reports To:</b> VP of Assay Development and Chief Operating Officer</p><p></p><p><b><br>
Position Summary</b></p>
<p>
The Scientist will play a key role in supporting the <b>development, validation, and manufacturing</b> of Novel Microdevices&rsquo; molecular diagnostic assays and reagents. This cross-functional position bridges <b>R&amp;D, Quality Control, and Manufacturing</b>, ensuring that new assays and production lots meet performance, consistency, and regulatory requirements.</p>
<p>
The ideal candidate is a <b>hands-on scientist</b> who enjoys both bench-level experimentation and structured quality processes, thrives in a <b>fast-paced startup environment</b>, and contributes to the <b>continuous improvement and commercialization</b> of diagnostic products.</p><br>
<p><b>
Key Responsibilities</b></p>
<ul>
<li><b>Assay Development &amp; Verification</b>
<ul><li>Support R&amp;D in the design, optimization, and verification of new molecular diagnostic assays (e.g., qPCR, nucleic acid extraction, reagent formulation).</li>
<li>Conduct feasibility, design transfer, and V&amp;V (Verification &amp; Validation) testing to ensure product performance and regulatory compliance.</li>
<li>Perform analytical testing to assess assay sensitivity, specificity, reproducibility, and robustness.</li>
<li>Analyze, interpret, and present experimental data to cross-functional teams.</li>
</ul><b>Reagent &amp; Manufacturing Support</b>
<ul><li>Collaborate with Manufacturing to scale reagent formulations, optimize processes, and ensure lot-to-lot consistency.</li>
<li>Conduct in-process, release, and stability testing on raw materials, intermediates, and finished products.</li>
<li>Develop and refine SOPs, batch records, and test methods for reagent preparation and product release.</li>
<li>Support troubleshooting of reagent production issues and contribute to process improvements.</li></ul><br>
<br>
<ul><li>Execute and document QC methods in compliance with <b>ISO 13485</b>, <b>FDA 21 CFR Part 820</b>, and <b>IVDR</b> standards.</li>
<li>Support method validation, transfer, and verification in alignment with <b>CLSI</b> and internal quality requirements.</li>
<li>Participate in investigations of nonconformances, OOS/OOT events, and CAPA development.</li>
<li>Ensure accurate and complete documentation consistent with design control, traceability, and QMS standards.</li>
</ul><b>Cross-Functional Collaboration</b>
<ul><li>Work closely with QA, R&amp;D, and Operations to support technology transfer and readiness for scale-up.</li>
<li>Provide technical input for product characterization, design reviews, and risk assessments (ISO 14971).</li>
<li>Train and mentor laboratory staff on analytical methods, data integrity, and best practices.</li>
</ul>Contribute to continuous improvement initiatives to strengthen product performance and operational efficiency.</li></ul><br>
<p></p>
<p><b>
Minimum Qualifications</b></p>
<ul>
<li><b>PhD or Master&rsquo;s degree in Molecular Biology, Biochemistry, Biotechnology, or a related life science field</b>, <i>or equivalent experience</i> in assay development or molecular diagnostics; <b>with at least 2 years of relevant experience</b>;<br>
<b>OR</b><br>
<b>Bachelor&rsquo;s degree</b> in a related discipline <b>with at least 5 years of relevant experience</b> in assay development, molecular biology, or quality control within a regulated IVD or life sciences environment.</li>
<li>Hands-on experience with <b>qPCR and molecular assay techniques</b>, including nucleic acid extraction, amplification, or detection.</li>
<li>Working knowledge of <b>ISO 13485</b>, <b>FDA 21 CFR Part 820</b>, or similar quality management systems.</li>
<li>Strong experimental design, troubleshooting, and data analysis skills.</li>
<li>Excellent documentation, organization, and communication skills with a proven ability to collaborate across R&amp;D, Manufacturing, and QA/QC.</li></ul><br>
<p></p>
<p><b>
Preferred Qualifications</b></p>
<ul>
<li>Experience in <b>IVD assay development and design transfer</b> from prototype to production.</li>
<li>Familiarity with <b>reagent formulation</b>, lyophilization, or stability studies.</li>
<li>Prior involvement in <b>V&amp;V studies</b>, design control documentation, or regulatory submissions.</li>
<li>Knowledge of <b>statistical tools</b> for data trending and method validation (e.g., JMP, Minitab, or equivalent).</li>
<li>Exposure to <b>risk management (ISO 14971)</b> and <b>document control systems</b>.</li></ul></div>

Staff Scientist – Assay Development, Quality, and Manufacturing Support

Intuit

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Intuit is looking for an innovative and hands-on <b>Staff AI Scientist</b> to join the Intuit AI team.</div><div></div><div><br>
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.</div><p><b><br>
Responsibilities</b></p><ul><li>
Practices leadership and communication skills to influence teams and to evangelize AI science across the organization</li><li>
Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products</li><li>
Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team&rsquo;s work, and holding the team accountable for high quality code, git, design, costs and implementation standards</li><li>
Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL and design/build featurization.</li><li>
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.</li><li>
Runs A/B tests to draw conclusions on the impact of your team&rsquo;s work and communicates results to peers and leaders</li><li>
Communicates with partners to ensure successful delivery and integration of DS solutions.</li><li>
Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.</li></ul><div></div><p><b><br>
Qualifications</b></p><ul><li>
4+ years of industry experience with AI science</li><li>
BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent</li><li>
4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.</li><li>
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.</li><li>
Proficient in NLP techniques, Explainable AI, and ML frameworks.</li><li>
Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.</li><li>
Efficient in SQL, Hive, SparkSQL, etc.</li><li>
Comfortable working in a Linux environment</li><li>
Experience with building end-to-end reusable pipelines from data acquisition to model output delivery</li><li>
Quick learner, adaptable, with the ability to work independently in a fast-paced environment</li><li>
Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p><p></p><div><i><br>
Mountain View, CA: 205,500 - 278,000</i></div></div>

Staff AI Scientist

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Intuit is looking for an innovative and hands-on <b>Staff AI Scientist</b> to join the Intuit AI team.</div><div></div><div><br>
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.</div><p><b><br>
Responsibilities</b></p><ul><li>
Practices leadership and communication skills to influence teams and to evangelize AI science across the organization</li><li>
Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products</li><li>
Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team&rsquo;s work, and holding the team accountable for high quality code, git, design, costs and implementation standards</li><li>
Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL and design/build featurization.</li><li>
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.</li><li>
Runs A/B tests to draw conclusions on the impact of your team&rsquo;s work and communicates results to peers and leaders</li><li>
Communicates with partners to ensure successful delivery and integration of DS solutions.</li><li>
Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.</li></ul><div></div><p><b><br>
Qualifications</b></p><ul><li>
4+ years of industry experience with AI science</li><li>
BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent</li><li>
4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.</li><li>
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.</li><li>
Proficient in NLP techniques, Explainable AI, and ML frameworks.</li><li>
Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.</li><li>
Efficient in SQL, Hive, SparkSQL, etc.</li><li>
Comfortable working in a Linux environment</li><li>
Experience with building end-to-end reusable pipelines from data acquisition to model output delivery</li><li>
Quick learner, adaptable, with the ability to work independently in a fast-paced environment</li><li>
Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:</p></div><p></p>

<div><h2 class="jobSectionHeader"><b>Overview</b></h2><div>
Intuit is looking for an innovative and hands-on <b>Staff AI Scientist</b> to join the Intuit AI team.</div><div></div><div><br>
Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.</div><p><b><br>
Responsibilities</b></p><ul><li>
Practices leadership and communication skills to influence teams and to evangelize AI science across the organization</li><li>
Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products</li><li>
Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team&rsquo;s work, and holding the team accountable for high quality code, git, design, costs and implementation standards</li><li>
Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them &ldquo;model-ready&rdquo;. You need to be willing and able to do your own ETL and design/build featurization.</li><li>
Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.</li><li>
Runs A/B tests to draw conclusions on the impact of your team&rsquo;s work and communicates results to peers and leaders</li><li>
Communicates with partners to ensure successful delivery and integration of DS solutions.</li><li>
Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.<br>
<i>Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.</i></li></ul><p><b><br>
Qualifications</b></p><ul><li>
4+ years of industry experience with AI science</li><li>
BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent</li><li>
4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.</li><li>
Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.</li><li>
Proficient in NLP techniques, Explainable AI, and ML frameworks.</li><li>
Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.</li><li>
Efficient in SQL, Hive, SparkSQL, etc.</li><li>
Comfortable working in a Linux environment</li><li>
Experience with building end-to-end reusable pipelines from data acquisition to model output delivery</li><li>
Quick learner, adaptable, with the ability to work independently in a fast-paced environment</li><li>
Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users</li></ul><p><br>
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
<br>
New York<i>: $201,500 - $273,000</i></p></div><p></p>

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