173 Data Science jobs in La Jolla
Scientist, Data Science
Posted 6 days ago
Job Viewed
Job Description
Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. What You Will Contribute To Altos We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Responsibilities Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems. Design, develops and programs methods, processes, and systems to extract, consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches. Partner closely with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research. Embed analyses and visualizations in automated reports. Who You Are Minimum Qualifications PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc. 1 - 5 years (Scientist I/II) or 5+ years (Senior Scientist) years of relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages. Willing to work in a collaborative environment and share periodic updates across the company. Preferred Qualifications Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g., KEGG) into omics data analysis pipelines. The salary range for San Francisco Bay Area, CA : Scientist I, Data Science : $ 165,750 - $24,250 Scientist II, Data Science : 195,000 - 263,350 Senior Scientist I, Data Science: 229,000 - 313,950 The salary range for San Diego, CA : Scientist I, Data Science : 150,450 - 203,550 Scientist II, Data Science : 177,000 - 243,800 Senior Scientist I, Data Science: 212,000 - 292,100 Exact compensation may vary based on skills, experience, and location. - Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice ) - This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. #LI-HYBRID What We Want You To Know We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation. Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief). Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging. Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at Apply for this job * indicates a required field First Name * Last Name * Email * Phone * Resume/CV * Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Employment Title * Select. Start date year * End date month * Select. End date year * Current role Education School * Select. Degree * Select. Select. Select. Start date year * End date month * Select. End date year * Permanent Physical Address * If you prefer to be addressed by a nickname that is different from the legal name you entered above, please list here * LinkedIn Profile * Website Are you legally authorized to work in the job location on a full-time basis? * Select. Will you now or in the future require sponsorship for employment visa status? * Select. Are you any of the following: (a) a U.S. citizen, (b) a lawful permanent resident of the United States (i.e., a green card holder), or (c) a protected individual as defined by 8 U.S.C. 1324b(a)(3) (e.g., granted asylum or a refugee), or d) none of the above. * Select. Is your most recent country of citizenship any of the following: Cuba, Iran, North Korea, or Syria? * Select. If the answer to the last question is “yes,” do you have dual citizenship with the U.S? Select. If needed for the position, are you willing to relocate? * Select. How did you hear about this position? * Select. Do you know anyone who works or is applying to work for Altos? * Select. If you said yes to the previous question, please list anyone you know who works or is applying to work for Altos. * Before submitting your application, please read the Altos Labs EU and UK Applicant Privacy Notice provided in the job posting. This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment. * Select. I have reviewed the information I provided on my resume and in my job application, and I am confirming that all of the information listed is accurate. * Select. US Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary . Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Altos Labs's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. #J-18808-Ljbffr
Scientist, Data Science
Posted 11 days ago
Job Viewed
Job Description
Job Description Our Mission Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life. # Our Value Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission . # Diversity at Altos We believe that diverse perspectives are foundational to scientific innovation and inquiry. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment. # What You Will Contribute To Altos We have an opportunity available for a Data Scientist to work in the field of cells, genomics and related areas. Responsibilities Generate insights and models from multi-omics datasets (using public and internal data) to understand patterns, trends and relationships within data to inform decision-making and solve problems. Design, develops and programs methods, processes, and systems to extract, consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with and adopt emergent analytical methodologies, tools and applications to ensure fit-for-purpose and impactful approaches. Partner closely with the Lab scientists and researchers to identify opportunities for data and insight mining to accelerate research. Embed analyses and visualizations in automated reports. # Who You Are Minimum Qualifications PhD in interdisciplinary quantitative science such as Biology, Chemistry, Computer Science, Physics, etc. 1 - 5 years (Scientist I/II) or 5+ years (Senior Scientist) years of relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages. Willing to work in a collaborative environment and share periodic updates across the company. # Preferred Qualifications Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g., KEGG) into omics data analysis pipelines. The salary range for San Francisco Bay Area, CA : Scientist I, Data Science : $165,750 - $24,250 Scientist II, Data Science : 195,000 - 263,350 Senior Scientist I, Data Science: 229,000 - 313,950 The salary range for San Diego, CA : Scientist I, Data Science : 150,450 - 203,550 Scientist II, Data Science : 177,000 - 243,800 Senior Scientist I, Data Science: 212,000 - 292,100 Exact compensation may vary based on skills, experience, and location. # What We Want You To Know We are a culture of collaboration and scientific excellence, and we believe in the values of inclusion and belonging to inspire innovation. Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief). #J-18808-Ljbffr
Data Science Engineer
Posted today
Job Viewed
Job Description
We are seeking highly skilled and motivated Data Science Engineers to join our DevSecOps Department/Cyber, Modeling and Simulation Division at the Applied Research Laboratory (ARL) at Penn State University. ARL/Penn State's purpose is to develop innovative solutions to challenging national problems in support of the Navy, DoD, and Intel communities engineering and technology needs.
Your working location will be on-site in San Diego, CA or Oahu, Hawaii
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
You will:
- Develop and implement data analytics techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
- Apply data mining, data modeling, statistics, graph algorithms and machine learning to extract and analyze information from large structured and unstructured datasets to support analytics objectives
- Visualize, interpret, and report data findings in dynamic data reports
- Employ a variety of data manipulation and visualization tools to best convey information/results to customers
- Support the design, development, testing and implementation of web based collaboration tools & platforms for data reporting
- Plan and conducts software integration or testing, including analyzing and implementing test plans and scripts, in support of analytics objectives
- Conduct exploratory data analysis for testing hypothesis
This position can be filled at multiple levels depending on education and experience. Minimally requires a Bachelor's Degree in an Engineering or Science discipline, 5+ years related experience. Additional education and/or experience required for higher level positions. Master's degree preferred.
Required skills/experience areas include:
- Demonstrates proficiency with frequent scripting language use, such as Python (primary) or R and using packages commonly used in data science applications or advanced analytics such as SQL.
- Familiar with Kubernetes clusters and utilization of tools such as Prometheus or similar.
- Proficient in Grafana as an open-source analytics and interactive visualization web application for monitoring application performance
- Comfortable working with data in a variety of formats including excel, CSV, JSON, XML
- Utilization of Microsoft's Power BI, Tableau, and other toolsets to visualize data and share insights with senior decision makers
- Active Top Secret Clearance with SCI eligibility
ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.
You will be subject to a government security investigation, and you must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.
FOR FURTHER INFORMATION on ARL, visit our web site at
The salary range for this position, including all possible grades is:
$109,300.00 - $191,000.00
Salary Structure - additional information on Penn State's job and salary structure.
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact .
Data Science Engineer
Posted today
Job Viewed
Job Description
- CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
- CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
- If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.
We are seeking highly skilled and motivated Data Science Engineers to join our DevSecOps Department/Cyber, Modeling and Simulation Division at the Applied Research Laboratory (ARL) at Penn State University. ARL/Penn State's purpose is to develop innovative solutions to challenging national problems in support of the Navy, DoD, and Intel communities engineering and technology needs.
Your working location will be on-site in San Diego, CA or Oahu, Hawaii
ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply.
You will:
- Develop and implement data analytics techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software
- Apply data mining, data modeling, statistics, graph algorithms and machine learning to extract and analyze information from large structured and unstructured datasets to support analytics objectives
- Visualize, interpret, and report data findings in dynamic data reports
- Employ a variety of data manipulation and visualization tools to best convey information/results to customers
- Support the design, development, testing and implementation of web based collaboration tools & platforms for data reporting
- Plan and conducts software integration or testing, including analyzing and implementing test plans and scripts, in support of analytics objectives
- Conduct exploratory data analysis for testing hypothesis
Required skills/experience areas include:
- Demonstrates proficiency with frequent scripting language use, such as Python (primary) or R and using packages commonly used in data science applications or advanced analytics such as SQL.
- Familiar with Kubernetes clusters and utilization of tools such as Prometheus or similar.
- Proficient in Grafana as an open-source analytics and interactive visualization web application for monitoring application performance
- Comfortable working with data in a variety of formats including excel, CSV, JSON, XML
- Utilization of Microsoft's Power BI, Tableau, and other toolsets to visualize data and share insights with senior decision makers
- Active Top Secret Clearance with SCI eligibility
ARL at Penn State is an integral part of one of the leading research universities in the nation and serves as a University center of excellence in defense science, systems, and technologies with a focus in naval missions and related areas.
You will be subject to a government security investigation, and you must be a U.S. citizen to apply. Employment with the ARL will require successful completion of a pre-employment drug screen.
FOR FURTHER INFORMATION on ARL, visit our web site at
**The proposed salary range may be impacted by geographic differential.**
The salary range for this position, including all possible grades is:
$109,300.00 - $191,000.00
Salary Structure - additional information on Penn State's job and salary structure.
CAMPUS SECURITY CRIME STATISTICS:
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
Employment with the University will require successful completion of background check(s) in accordance with University policies.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact .
Federal Contractors Labor Law Poster
PA State Labor Law Poster
Penn State Policies
Copyright Information
Hotlines
San Diego, CA
Data Science Engineer
Posted 30 days ago
Job Viewed
Job Description
Join to apply for the Data Science Engineer role at The Applied Research Laboratory at Penn State University We are seeking highly skilled and motivated Data Science Engineers to join our DevSecOps Department/Cyber, Modeling and Simulation Division at the Applied Research Laboratory (ARL) at Penn State University. ARL/Penn State’s purpose is to develop innovative solutions to challenging national problems in support of the Navy, DoD, and Intel communities engineering and technology needs. Your working location will be on-site in San Diego, CA or Oahu, Hawaii ARL is an authorized DoD SkillBridge partner and welcomes all transitioning military members to apply. You will: Develop and implement data analytics techniques and applications to transform raw data into meaningful information using data-oriented programming languages and visualization software Apply data mining, data modeling, statistics, graph algorithms and machine learning to extract and analyze information from large structured and unstructured datasets to support analytics objectives Visualize, interpret, and report data findings in dynamic data reports Employ a variety of data manipulation and visualization tools to best convey information/results to customers Support the design, development, testing and implementation of web based collaboration tools & platforms for data reporting Plan and conduct software integration or testing, including analyzing and implementing test plans and scripts, in support of analytics objectives Conduct exploratory data analysis for testing hypotheses This position can be filled at multiple levels depending on education and experience. A minimum of a Bachelor’s Degree in an Engineering or Science discipline and 5+ years related experience are required. Additional education and/or experience are required for higher level positions. A Master's degree is preferred. Required skills/experience areas include: Proficiency with scripting languages such as Python (primary) or R, and using packages commonly used in data science applications or advanced analytics such as SQL. Familiarity with Kubernetes clusters and tools such as Prometheus or similar. Proficiency in Grafana for monitoring application performance. Experience working with data in formats like Excel, CSV, JSON, XML. Experience with visualization tools such as Power BI, Tableau, to share insights with decision makers. Active Top Secret Clearance with SCI eligibility. ARL at Penn State is a key part of a leading research university, focusing on defense science, systems, and technologies related to naval missions. Applicants will be subject to a government security investigation and must be U.S. citizens. Employment requires a pre-employment drug screen. We value diversity, equity, and inclusion, believing it is essential to our success. #J-18808-Ljbffr
Data Science Manager, GenAI, Strategic Analytics - Data Science
Posted 1 day ago
Job Viewed
Job Description
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on August 11, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Manager 2, Data Science
Posted 1 day ago
Job Viewed
Job Description
Intuit is looking for an experienced and highly motivated Data Science Manager 2 to join the Consumer Group Finance team. This person will lead a team that manages, develops and integrates AI and other data tools & technologies into key financial processes like forecasting and reporting.
The ideal candidate will have a strong background in data science, business analytics and automation, be able to communicate effectively with stakeholders, and have a passion for managing and implementing mission-critical data solutions.
**What you'll bring**
To be successful in this role, the candidate must be/have:
+ 7+ years of industry experience in data science and 2+ years of leading a data science, analytics or technology team
+ BS, MS, or PhD in Statistics, Mathematics, Computer Science or equivalent.
+ Experience with modern data science tools and programming languages, machine learning techniques and AI applications.
+ Efficient in handling large-scale datasets and proficient in using data manipulation tools and databases (SQL, NoSQL).
+ Experience with modern data visualization and reporting tools such as Qlik Sense, Tableau, Power BI, etc.
+ High degree of organization, individual initiative, intellectual curiosity, personal accountability, and a commitment to driving results in a fast-paced environment while managing multiple priorities simultaneously
+ Well-rounded interpersonal skills with the capacity to build strong relationships and collaborate across multiple stakeholders at varying levels
+ Ability to effectively communicate, telling stories with data, instilling confidence, educating, and motivating stakeholders to act on recommendations
**How you will lead**
+ Lead a team that builds and deploys modern machine learning and AI models in support of financial forecasting accuracy, financial insights, and efficiency gains for core financial processes.
+ Analyze large and complex datasets to extract insights and identify key features that will inform the development of AI models; be involved in the end-to-end pipeline from data collection to model input.
+ In partnership with financial analysts, maintain and refresh models over time, iteratively improve the models, draw conclusions on the impact of your models, and communicate results to peers and leaders.
+ Explore new technology shifts to determine how they might connect with the core financial processes.
+ Hire, train and mentor your data scientist / analyst team, while ensuring they stay up to date with industry standards, technology, and best practices.
+ Maintain data integrity, confidentiality, and availability by strictly adhering to data stewardship principles and guidelines.
+ Manage complex processes and ambiguous situations while collaborating with multiple individuals and teams
+ Communicate effectively in both verbal and written form with TurboTax business partners
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Be The First To Know
About the latest Data science Jobs in La Jolla !
Manager 2, Data Science
Posted 1 day ago
Job Viewed
Job Description
We are looking for an experienced and highly-motivated Sr. Manager of Data Science to join our Marketing Analytics team. You will lead a team responsible for developing and utilizing data to drive insights and decisions for our Marketing function.
The ideal candidate must have a strong background in data science, inference, automation and experimentation, be able to communicate effectively with stakeholders, and have a passion for driving data-informed solutions.
**What you'll bring**
+ Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field.
+ MS in a quantitative field such as computer science, statistics, economics, math, or equivalent work experience + BS
+ 3+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
+ Strong background in statistical analysis, programming, and experimentation.
+ Proven ability to apply scientific methods to solve real-world problems on web-scale data.
+ Expertise in at least one scripting language (ideally Python/R), with experience building models in either language
+ Proficiency in SQL and Hive.
+ Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
+ Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
+ Experience leading key technical projects and substantially influencing the scope and output of others.
+ Experience in querying and manipulating large data sets.
+ Knowledge to translate quantitative findings into actionable insights and influence business decisions.
+ Meaningful time as a data scientist partnering with business functions, ideally with paid marketing teams, and having expertise in analyzing brand campaigns.
+ Ability to draw on experience to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams.
+ Ability to turn ambiguous questions and problems into clear deliverables and insights.
+ Ability to make tradeoffs between speed and accuracy wisely
**How you will lead**
+ Build and lead a team of analysts and data scientists, providing leadership, direction, and guidance.
+ Develop data-driven insights to drive marketing decisions and improve business outcomes.
+ Utilize models and develop advanced experimentation methods, such as synthetic controls, propensity score matching techniques etc. to measure marketing's impact across our suite of products.
+ Utilize time-series forecasting models to predict growth and set the right growth goals, and develop frameworks to implement marketing attribution models.
+ Design, launch, and analyze experiments to understand the incrementality of different messaging and creative campaigns.
+ Design measurement approach and identify flaws in experiment practices and results, especially in 3P environments
+ Collaborate with marketing, product, and engineering teams to identify insights and guide new campaign and growth roadmaps.
+ Manage data integration and engineering with marketing technology platforms for data hygiene, segmentation, and targeting.
+ Manage operational effectiveness of the data mining, statistical analysis, and predictive modeling programming activities.
+ Partner with cross-functional teams to initiate, lead, or contribute to large-scale/complex strategic projects
+ Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals.
+ Provide technical guidance and mentorship to junior team members on solution design as well as lead code/design reviews.
+ Optimize our marketing efforts to make sure our marketing spend has the best possible ROI.
+ Apply expertise in data mining and data presentation, as well as knowledge of marketing channels and platforms, to identify opportunities.
+ Partner closely with all marketing teams to make critical decisions about where we invest our marketing efforts, understanding the impact of our business, defining key success metrics, and core segmentations.
+ Influence team's roadmap by sharing findings with the rest of the company, and driving and verifying change in our marketing channel spend.
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Manager 3, Data Science
Posted 1 day ago
Job Viewed
Job Description
Intuit SBSEG Data and Analytics has an exciting opportunity to be part of the fast-growing Mid-market Analytics team that plays a critical role in driving growth in Mid-market with a long-term winning strategy. Disrupt the small business mid-market is one of Intuit's 5 Big Bets initiatives.
The Mid-market Analytics team is responsible for (1) providing valuable insights that supports the development of E2E strategy, operational plans and product roadmaps, (2) providing data/tools/actionable insights/experimentation for the execution of multiple Mid-market priorities across our function domains (Product, Marketing, Sales, Customer Success, Finance), developing/managing the success KPIs and reporting as the single source of the truth for how the mid-market business is doing.
We are looking for a Manager 3, Data Science, who is intellectually curious and extremely self-driven, with a proven track record of leading analytics support for a critical or high-growth business areas. The ideal candidate will also have a passion for building and developing a high-performing Data Science team, while demonstrating a forward-looking, strategic and extreme ownership mindset.
**What you'll bring**
+ Minimum 10+ years of experience in analytics or Data Science area
+ Minimum 5 years of experience in managing a team of 7+ data scientists/analysts.
+ 10+ years of hands-on experience in SQL and data visualization tools such as Tableau, Qlik.
+ Multiple years of experience in applying advanced analytics techniques such as python, ML models, LLM, etc., is highly preferred.
+ Ability to create analytical framework for solving complex business problems with proven track record.
+ Ability to manage multiple projects simultaneously to meet objectives.
+ Ability to identify strategic opportunities.
+ Outstanding communications skills with both technical and non-technical. Be able to communicate effectively with senior executives.
+ Minimum Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field.
**How you will lead**
+ Build and develop a high-performing Data Science team.
+ Influence strategic business decisions and operational decisions by conducting customer segmentation and profiling, product analytics, sales funnel analysis, sales win/loss analysis, voice of customer analysis, etc.
+ Develop and manage key success metrics and leading indicators for providing holistic understanding of how the business is performing and whether each initiative/program is delivering the desired outcomes.
+ Proactive explore and identify new business opportunities to help business partners to achieve business goals.
+ Communicate data and insights effectively to business partners of all levels including senior leadership team.
+ Collaborate with other analytics teams and data engineers to work on cross-functional projects or develop analytics/AI capabilities.
EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Cellular Data Science & Machine Learning Engineer
Posted 30 days ago
Job Viewed
Job Description
Cellular Data Science & Machine Learning Engineer Add to Favorites Cellular Data Science & Machine Learning Engineer Removed from favorites Do you have a passion for invention and self-challenge? Do you thrive with pushing the limits of what’s considered feasible? As part of a world class modem team, you’ll craft sophisticated innovative embedded firmware that deliver more performance in our products than ever before! You’ll work across fields to transform improved hardware elements into a single, coordinated design. Join us, and you’ll help us innovate new wireless systems technologies that continually outperform the previous iterations. By collaborating with other product development groups across Apple, you’ll push the industry boundaries of what wireless systems can do and improve the product experience for our customers across the world. As a Cellular 4G/5G Firmware Data Science & Machine Learning Engineer, you will be at the center of the embedded 5G/4G/multimode cellular firmware effort within a silicon design group responsible for crafting and productizing state-of-the-art cellular SoCs! Description Data Science & Machine Learning Engineer will be responsible for developing groundbreaking data processing pipeline based on machine learning models and demonstrating data science algorithms to parse extensive data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem. In addition, you will be closely partnering with FW engineering teams in integrating and deploying ML models and data processing pipeline as part of entire automation system to deliver analysis results to benefit FW engineers in debugging issues. You will work with an amazing team, brainstorm new insights, and develop models and algorithms to solve complicated problems that have a meaningful impact. Minimum Qualifications BS and a minimum of 3 years relevant industry experience Proficient Python developer with 3+ years proven programming skills using standard ML tools such as PyTorch, Tensorflow, and HuggingFace Good understanding of machine learning, deep learning and natural language (including LLMs) processing and ability to optimize machine learning models to adapt to solving various kinds of issues Hands on experience in implementing end-to-end machine learning projects Ability to think creatively and identify, build, and support solutions and roadmaps focused on automation and reduction of manual processes Preferred Qualifications Masters or PhD degree Proficient Python developer with 5+ years shown programming skills using standard ML tools such as PyTorch, Tensorflow, and HuggingFace Proven understanding of machine learning, deep learning and natural language (including LLMs) processing and ability to optimize machine learning models to adapt to solving various kinds of issues Experience in developing machine learning models and /or deep learning models, feature engineering and rich experience in implementing end-to-end machine learning projects Experience in applying analytics and statistical methods to transform data into useful insights and actionable results Experience with relational database (e.g Postgres), SQL and non-relational database (e.g.Mango DB) Strong critical thinking and interpersonal skills with the ability and desire to learn and evaluate new technologies At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $135,400 and $250,600, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . Add to Favorites Cellular Data Science & Machine Learning Engineer Removed from favorites #J-18808-Ljbffr