Product Data Analyst
Data Science Internship Job 38 miles from San Francisco
Job Title: Product Data Analyst
Duration: 11 months
Contract Type: W2 only
Pay Rate: $65.49/Hour
Partner with product and business teams to understand requirements and KPIs.
Support regular ad-hoc data querying and in-depth analyses to better understand customer behavior.
Support teams in running growth programs and A/b tests through analyzing results and communicating insights.
Conduct exploratory data analysis to answer business questions that help inform decision-making.
Slice and dice data sets through various dimensions to generate meaningful insights and diagnostics.
Skills:
Hands-on experience working with large data sets. Prior experience with a big data platform like Databricks, Apache Spark or Apache Hadoop.
Expert in at least one programming or data manipulation language, preferably Python and SQL.
Basic understanding of statistics, and prior experience with A/b testing.
5+ years of prior experience in similar Data Science & Analytics roles.
Data storytelling skills.
Good communication skills - ability to communicate business insights from data to stakeholders effectively.
Data Scientist
Data Science Internship Job In San Francisco, CA
Remote (PST Hours)
3-Month Contract
$65-85/hr
We are partnered with a leading Artificial Intelligence Research company who is looking for a Data Scientist for their Monitoring Operations team. You will play a critical role in building and enhancing systems designed to proactively identify abuse across products. You will ensure robust monitoring is in place for new product launches while maintaining ongoing monitoring for existing products. You will also be responsible for addressing critical escalations that go beyond the scope of current safety systems. This role requires deep expertise in products and data and involves close collaboration with product, policy, and engineering teams.
Key Responsibilities:
Scope and implement monitoring requirements for new product launches by working closely with Product, Policy, and Engineering teams.
Respond to urgent escalations, particularly those that are not detected by current safety systems, by utilizing a deep understanding of products and data.
Participate in an on-call rotation to resolve urgent issues outside normal working hours.
Ensure we have robust monitoring systems to identify and address key risks in new and existing products.
Work cross-functionally with product, policy, engineering, and safety teams to ensure comprehensive abuse detection and mitigation strategies are in place.
Investigate sensitive content, including sexual, violent, or otherwise disturbing material, in a responsible and effective manner.
Qualifications:
At least 4 years of experience in technical analysis, particularly with SQL and Python.
Experience working in trust and safety roles or closely collaborating with policy, enforcement, and engineering teams.
Familiarity with basic data engineering practices such as building core tables or writing data pipelines (Note: Infrastructure or production-level coding is not required).
Experience scaling and automating processes, especially in the context of language models.
Nice to Have Qualifications:
Experience with proactive abuse detection systems or safety monitoring.
Familiarity with AI, machine learning, and language model-based tools and technologies.
Data Scientist
Data Science Internship Job In San Francisco, CA
Sonata is a global technology company specializing in platform-based digital transformation, supporting businesses to become connected, open, intelligent and scalable. Sonata's Platformation™ methodology brings together industry expertise, platform technology excellence, design innovation and strategic engagement models to deliver sustained value to customers. A trusted partner of world leaders in the retail, manufacturing, distribution, travel, services and software industries, Sonata's software portfolio includes the Brick & Click Retail Platform©, Modern Distribution Platform©, Rezopia Digital Travel Platform©, Kartopia E-commerce Platform©, Halosys enterprise development automation Platform©, CTRM Commodity Trading and Risk Management Platform© and KODO - AI Powered Customer Experience (CX) Platform. Sonata's Platformation approach ensures services built on Microsoft Dynamics 365, Microsoft Azure, AWS, Cloud Engineering and Managed Services deliver on the Platformation promise. As world leaders in digital technologies including IoT, Artificial Intelligence, Machine Learning, Robotic Process Automation, Chatbots, Block Chain and Cyber Security, Sonata's people and systems are nurtured to deliver on our commitment to excellence in business technology solutions.
Job Title : Data Scientist with Logistics
Location: Bay Area , CA or Reno, NV. No remote (Weekly 5 days to Office)
Duration: 12 months Contract / Fulltime
Start Date : Immediate
Worked at a Trucking/Logistics/Freight companies: Uber Freight, Con-way, CH Robinson, Coyote Logistics, Flexport are some examples
Job Description:
Key Responsibilities:
·Analyzing data patterns and trends through statistical methods to understand the underlying relationships within the data
·Deep understanding of statistical modeling, machine learning algorithms, analytics concepts, and a track record of solving problems
·5 years of experience with developing ML models
·Prior experience in ML modeling using TensorFlow, Pytorch
·Model Development: Develop and deploy machine learning algorithms & models using Python and relevant libraries/frameworks
·Data Preprocessing, Address missing data, outliers, and anomalies using Databricks' robust data processing tools
·Feature Engineering Development
·Training Validation, Model Experimentation and Model Selection
·Hyper parameter tuning
·Presenting complex data insights through compelling visualizations like charts, graphs, and dashboards to effectively communicate findings to stakeholders
·Interpreting data insights and translating them into actionable business recommendations
Minimum Requirements:
Education: Bachelor's degree in computer science, Statistics, Mathematics, or related field.
Experience:
Minimum of 3 years of experience in data science - centric roles with a strong focus on analytics, data science, and machine learning.
Experience as Data Scientist in Freight / Logistics Industry is must.
Technical Skills:
·Proficiency in Python, SQL, or PySpark with strong programming skills
·Strong understanding of machine learning algorithms, model evaluation, and optimization techniques
·Proven track record of developing and deploying models in Production
Analytical Skills:
Robust analytical and problem-solving skills with a solid foundation in statistical methods.
Expertise in translating business issues into data-driven solutions using Databricks.
Why join Sonata Software?
At Sonata, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build never seen before solutions to some of the world's toughest problems. You´ll be challenged, but you will not be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
Sonata Software is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity, age, religion, disability, sexual orientation, veteran status, marital status, or any other characteristics protected by law.
Data Scientist
Data Science Internship Job In San Francisco, CA
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.
Please visit Fractal | Intelligence for Imagination for more information about Fractal.
**Please Note: This role is specifically located in the North Bay area of San Francisco. You'll need to be onsite or have the ability to move. **
Role Overview
As a Data Scientist specializing in Machine Learning at Fractal Analytics, you will play a pivotal role in shaping and driving our AI strategies. Your primary focus will be developing and implementing Machine Learning and statistical models that transform and elevate our client's business operations.
Your responsibilities include:
Collaborating with internal teams to understand complex business challenges and identify opportunities for AI-driven solutions.
Designing, developing, evaluating, and deploying Machine Learning algorithms that turn data into actionable insights.
Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions.
Proactively working with large datasets, ensuring the integrity and effectiveness of data used in Machine Learning models.
Engaging with clients to translate business needs into technical requirements and Machine Learning solutions.
Leading initiatives to enhance our data analytics capabilities with a focus on predictive and prescriptive analytics through Machine Learning.
Qualifications:
Bachelor's or master's degree in computer science, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence.
Proficiency in Machine Learning algorithms and concepts such as supervised and unsupervised learning, neural networks, deep learning, etc.
Experience with data modeling and evaluation strategies.
Strong programming skills in Python, especially libraries used in data science like TensorFlow, PyTorch, Keras, Scikit-learn, etc.
Knowledge of data preprocessing, cleaning, and analysis techniques.
Familiarity with big data technologies such as Hadoop, Spark, or similar platforms.
At least 3-5 years of experience in a Machine Learning or data science role, with a proven track record of developing and deploying models that have driven business impact.
Experience working with large and complex datasets.
Prior exposure to cloud computing services like AWS, Azure, or Google Cloud Platform is advantageous.
Pay:
The 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 Fractal, 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: 115,000 to 185,000. In addition, you may be eligible for a discretionary bonus for the current performance period.
Benefits:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.
Fractal 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.
Data Scientist
Data Science Internship Job 7 miles from San Francisco
Title: Data Scientist
Salary: $170,000 - 180,000
Contact: Paul Chatlos, ************************
Private Equity/Venture Capital firm is seeking a Data Scientist to assist their portfolio companies with data driven business decisions
Data Scientist Position Description
We are seeking a versatile Data Scientist to join our team. As a generalist, you will leverage your skills in data processing, modeling, visualization, and prompt engineering to evaluate potential investments, solve critical business challenges and identify growth opportunities across multiple industry verticals, including consumer, industrial, and business services. Your work will directly impact investment decisions, revenue growth, operational efficiency, and the seamless integration of add-on acquisitions.
This is a unique opportunity to work across multiple businesses, partnering with the investment team, as well as the marketing, sales, and operational teams at portfolio companies. Experience in the investment management or financial industry is an advantage, as is exposure to working with large language models (LLMs) like ChatGPT.
Data Scientist Responsibilities:
Data Analysis & Processing: Collect, clean, and preprocess large datasets from diverse sources to ensure data quality and usability.
Model Development: Build, evaluate, and deploy predictive and descriptive models to solve business problems, such as customer segmentation, demand forecasting, and operational optimization.
Data Visualization: Create compelling visualizations and dashboards to communicate insights effectively to both technical and non-technical users.
Cross-Functional Collaboration: Partner with management teams to make data-based decisions. Work with other team members to develop marketing campaigns and internal tools.
Revenue Growth & Operational Efficiency: Use analytics to identify opportunities for revenue optimization, operational improvements, and streamlined M&A integration processes.
Leverage new AI technologies: Drive adoption of emerging generative AI technology within our internal organization and our portfolio companies.
Industry Research: Stay updated on trends in the consumer, industrial, and business services sectors to inform data-driven strategies.
Data Scientist Qualifications
BS, MS, or PhD. in a quantitative field or equivalent work experience.
5+ years working in data science.
Exceptional communication skills.
Experience working cross-functionally and collaboratively.
Proficient in SQL, Python and typical data science libraries.
Proficient in extracting data from databases, APIs, web-scraping, and/or scripting.
Proficient in business intelligence tools such as Tableau, PowerBI, or Looker.
Experience in prompting and using LLMs such as ChatGPT, Claude, Gemini etc.
Data Scientist II (Product Analytics, Recommendations )
Data Science Internship Job In San Francisco, CA
Our Mission Launched in 2012, Tinder revolutionized how people meet, growing from 1 match to one billion matches in just two years. This rapid growth demonstrates its ability to fulfill a fundamental human need: real connection. Today, the app has been downloaded over 630 million times, leading to over 97 billion matches, serving approximately 50 million users per month in 190 countries and 45+ languages - a scale unmatched by any other app in the category. In 2024, Tinder won four Effie Awards for its first-ever global brand campaign, "It Starts with a Swipe""
Our Values
One Team, One Dream
We work hand-in-hand, building Tinder for our members. We succeed together when we work collaboratively across functions, teams, and time zones, and think outside the box to achieve our company vision and mission.
Own It
We take accountability and strive to make a positive impact in all aspects of our business, through ownership, innovation, and a commitment to excellence.
Never Stop Learning
We cultivate a culture where it's safe to take risks. We seek out input, share honest feedback, celebrate our wins, and learn from our mistakes in order to continue improving.
Spark Solutions
We're problem solvers, focusing on how to best move forward when faced with obstacles. We don't dwell on the past or on the issues at hand, but instead look at how to stay agile and overcome hurdles to achieve our goals.
Embrace Our Differences
We are intentional about building a workplace that reflects the rich diversity of our members. By leveraging different perspectives and other ways of thinking, we build better experiences for our members and our team.
Data Science - Product Analytics, Recommendations
The Core Data Science team seeks a passionate Data Scientist with a talent for transforming complex problems into actionable hypotheses that can be addressed through rigorous data analysis and A/B testing. In this role, you'll collaborate closely with the Recommendations team to refine Tinder's recommendation algorithms and lead initiatives that enhance member engagement and drive revenue growth. We're looking for innovative, resourceful problem solvers who are deeply invested in our product and excited by the opportunity to work with extensive, sophisticated datasets. As a Data Scientist focused on Analytics, you will work cross-functionally with Product, Marketing, Engineering, and Finance teams to elevate our platform. You will leverage comprehensive user behavior data to design experiments, build forecasting models, create automated reports, and deliver impactful insights to inform strategic business decisions.
Where you'll work: This position is in San Francisco, CA, Palo Alto, CA, or Los Angeles.
What You'll Do:
* Drive rigorous testing to validate hypotheses and guide business decisions.
* Find the "story" in the data and readily share insights with product, engineering, and design as well as at a company level.
* Be an authority with a point of view for the organization, using data to constantly challenge and reshape our current understanding of customer behavior and business performance.
* Derive and communicate data-driven recommendations regarding both the prioritization of potential product/marketing initiatives and the performance of current initiatives.
* Define and operationalize the detailed tracking of company-wide, team-specific, and product-specific performance metrics via rollout tables, dashboards, and automated reporting.
What you'll need:
* Bachelor's degree in a quantitative field (e.g. Economics, Computer Science, Statistics), Master's degree or PhD preferred 2-4 years of professional working experience in Data Science and/or analytics.
* Experience with SQL, data visualization tools (e.g., Tableau or Mode), and A/B testing is required.
* Familiarity with Python/R, using descriptive and inferential statistics and machine learning models.
* Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data.
* Ability to present data, actionable insights, technical concepts, and approaches to technical and non-technical audiences.
Differentiators
Ability to develop a nuanced business understanding, testable hypotheses, and meaningful findings from data Eagerness to identify and explore new product/marketing opportunities, potential improvements to our data infrastructure, and unanswered questions about customer behavior Curious about how things work, from both a business and technical perspective, could result in identifying and exploring new product opportunities, potential improvements to our data infrastructure, and deepening our understanding of member behavior.Proactive collaborator skilled in engaging with cross-functional teams (Product, Engineering, Machine Learning) to influence decision-making, confidently voicing concerns and alternative perspectives Ability to prioritize time across multiple projects and communicate timelines
As part of the team, you'll enjoy:
* Unlimited PTO (with no waiting period), 10 annual Wellness DaysTime off to volunteer, and charitable donations matched up to $15,000 annually
* Comprehensive health, vision, and dental coverage
* 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
* 100% paid parental leave (including for non-birthing parents), family forming benefits, and Milk Stork, which provides access to breast milk shipping for business travel, surrogacy, and employee relocation
* Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual $3,000 stipend for your professional development
* Investment in your wellness: access to mental health support via Modern Health, BetterHelp, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
* Free subscription to Tinder Gold
$135,000 - $155,000 a year
Factors such as the scope and responsibilities of the position, the candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations, may influence the base pay offered. This salary range reflects a position based in San Francisco and Palo Alto. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting.
Commitment to Inclusion
At Tinder, we don't just accept difference, we celebrate it. We strive to build a workplace that reflects the rich diversity of our members around the world, and we value unique perspectives and backgrounds. Even if you don't meet all the listed qualifications, we invite you to apply and show us how your skills could transfer. Tinder is proud to be an equal opportunity workplace where we welcome people of all sexes, gender identities, races, ethnicities, disabilities, and other lived experiences. Learn more here: ********************************
If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please speak to your Talent Acquisition Partner directly.
#Tinder
Data Scientist, Product Insights
Data Science Internship Job In San Francisco, CA
Data Scientist, Product Insights Job ID: 24-01298 Title - Data Scientist, Product Insights Pay rate - $105.63 per hour on W2 Duration - 6 Months * Drive analysis on business metrics to understand what's impacting them * Own data analysis and visualization, communicating complex insights to inform and influence strategic decisions across the organization.
* Collaborate with product and marketing teams to set success metrics, assess the impact of new initiatives, and optimize strategies based on data insights.
* Create and refine analytical frameworks and models to support strategic decision-making.
* Generate business strategic insights to guide the roadmap and go-to-market plan
* Monitor market trends and user feedback to evaluate the health of the product and business
* Build, maintain, and communicate detailed reporting & models to track performance and inform future strategies.
* Facilitate cross-functional data-driven discussions to align product development with business goals.
* Conduct competitive analysis to identify market opportunities and challenges, informing strategic positioning and product offerings.
* Proficiency in Python, R, SQL, and data visualization tools like Power BI, with the ability to code complex SQL queries and create insightful dashboards.
* Solid experience with machine learning, A/B testing, and predictive modeling, alongside a strong understanding of statistical concepts and data modeling.
* Experience with business and product metrics and diagnosis
* Excellent communication skills, capable of interpreting data and presenting findings in a clear manner to non-technical stakeholders
* Independent working capability and a self starter
* Strong analytical and problem-solving skills.
* Experience in data visualization tools and techniques.
* Data modeling and machine learning skills highly regarded, with bonus points for experience in content/UGC analysis.
* 3+ years of Data Science experience in a consumer facing role
* Job details
*
Data Scientist, Monitoring Operations
Data Science Internship Job In San Francisco, CA
About the Team
OpenAI's mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn.
The Intelligence and Investigations team supports this by identifying and investigating misuses of our products - especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products.
About the Role
As a Data Scientist on the Monitoring Operations team, you will be responsible for building systems to proactively identify abuse on OpenAI's products. This includes ensuring we have robust monitoring in place for new products, and can sustain monitoring for existing products. You will also respond to critical escalations, especially those that are not caught by our existing safety systems. This will require expert understanding of our products and data, and involves working cross-functionally with product, policy, and engineering teams.
This role will be based in our San Francisco office and includes participation in an on-call rotation that will involve resolving urgent escalations outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise-disturbing material.
In this role, you will:
Scope and implement monitoring requirements for new product launches. This involves working with Product and Policy teams to understand key risks, and working with Engineering teams to ensure we have sufficient data and tooling.
Improve processes to sustain monitoring operations for existing products. This includes developing approaches to automate monitoring subtasks.
You might thrive in this role if you:
Have at least 4 years of experience doing technical analysis, especially in SQL and Python.
Have experience in trust and safety and/or have worked closely with policy, enforcement, and engineering teams
Have experience with basic data engineering, such as building core tables or writing data pipelines (not expected to build infrastructure or write production code)
Have experience scaling and automating processes, especially with language models
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement
For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Data Scientist
Data Science Internship Job In San Francisco, CA
Mindlance is a national recruiting company which partners with many of the leading employers across the country. Feel free to check us out at *************************
Job Description
Gurobi Optimization is must (Highly desired - at least hands on experience will work)
-Developing predictive models in the area of marketing
-Understanding business problems and translating it into data mining problems
-Applying techniques such as clustering, classification and association
-Web analytics, Data mining techniques application for large data.
-The key personnel shall also demonstrate experience using advanced analytic techniques such as modern econometric methods, multivariate statistical analysis, clustering and segmentation, experimental design, optimization and text analytics.
-Predictive models to improve advertiser campaign performance
-Machine learning models for categorizing web pages and content
-Fraud detection & automated ranking content quality
Qualifications
Gurobi Optimization
Additional Information
It you or anyone from your network is looking for a change and interested to know more about this role; do call me on ************ or send an email with your updated resume on raghuv1@mindlance(dot)com
Data Scientist
Data Science Internship Job In San Francisco, CA
Who we are:
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves more than 120,000 customers - from Fortune 500 enterprises to small businesses - across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Visit gomotive.com to learn more.
About the Role:
We are looking for a Data Scientist to build the models that power the credit risk and fraud functions for the Motive Card, a high-priority business area for Motive. The Motive Card is a corporate card natively integrated with a fleet management platform, giving businesses an all-in-one solution to automate their financial and physical operations. As a member of our team you'll help frame the problems, build models and products that win customers, and leverage machine learning at a massive scale to solidify Motive's technology lead in the connected fleet management space.
What You'll Do:
Work closely with Risk, Product and Engineering teams to build, improve and implement underwriting and fraud models
Derive insights from complex data sets to identify credit and fraud risk
Apply statistical and machine learning techniques on large datasets
Evaluate the utility of non-traditional data sources
What We're Looking For:
Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics
3+ years experience in data science, machine learning, and data analysis
Expertise in applied probability and statistics
Experience building credit risk and fraud models
Deep understanding of machine learning techniques and algorithms
End-to-end deployment data-driven model deployment experience
Expertise in data-oriented programming (e.g. SQL) and statistical programming (e.g., Python, R). PySpark experience is a plus
Pay Transparency
Your compensation may be based on several factors, including education, work experience, and certifications. For certain roles, total compensation may include restricted stock units. Motive offers benefits including health, pharmacy, optical and dental care benefits, paid time off, sick time off, short term and long term disability coverage, life insurance as well as 401k contribution (all benefits are subject to eligibility requirements). Learn more about our benefits by visiting Motive Perks & Benefits.
The compensation range for this position will depend on where you reside. For this role, the compensation range is:
United States$90,000-$138,000 USD
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please review our Candidate Privacy Notice here.
The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
#LI-Remote
Data Scientist, Executive Analytics
Data Science Internship Job In San Francisco, CA
Airtable's innovative approach to end-user software creation is rapidly expanding, making it an exciting time to join our Finance Analytics Team as a Data Scientist. In this crucial role, you will report directly to the Head of Analytics and work directly with Airtable's CEO and Leadership Team. Your strategic insights will be instrumental in navigating our financial landscape and ensuring that our metrics align with the priorities of the CEO and Leadership Team.
This role offers the opportunity to significantly impact Airtable's strategy, providing you with a platform to deploy your data skills in a way that directly contributes to our company's growth and success.
What you'll do
* Strategic Analysis: Drive in-depth financial analysis to ensure the accuracy and relevance of key metrics, aligning them with the CEO's and Leadership Team's strategic priorities. Tackle ambiguous problems to uncover business value with minimal oversight.
* Communication Skills: Effectively communicate the "so-what" of an analysis, illustrating how insights can be leveraged to drive business impact across the organization.
* Partner with Executive Leadership: Provide analytical insights and direct support to the CEO and Leadership Team, influencing high-level financial strategies and critical decision-making processes.
* Define Executive-Level Metrics: Address complex, ambiguous business challenges by developing clear, consistent, and actionable metrics that provide transparency and track business performance at the highest levels.
* Champion Data Excellence for Leadership: Foster a culture of high-standard data practices and experimentation, enhancing the analytical capabilities and decision-making power of the CEO and Leadership Team.
* Develop Executive Dashboards: Design, build, and maintain sophisticated dashboards and KPIs, providing the CEO and Leadership Team with real-time insights into the company's financial health and strategic performance.
Who you are
* 6-10 year experience as a data scientist - preferable working with leadership teams at high growth startups.
* Skilled in Looker Semantic Modeling and BI Tooling: Expertise in building self-service data sets in Looker, enabling easy consumption by Finance Team members and the broader company.
* Detail-Oriented Investigator: Driven by curiosity to explore data beyond the surface, discovering essential insights that guide strategic decisions.
* Experienced Financial Data Analyst: With at least 6 years in roles like Data Scientist, Analyst, or Engineer, you possess deep expertise in financial data strategy.
* Skilled in Data Translation: Excel at transforming complex data into meaningful, actionable insights, effectively storytelling to impact high-level financial strategies.
* Technically Proficient: Proficient in SQL and tools like R or Python, you handle large datasets with ease, ensuring data integrity and accessibility.
* Effective Communicator: You communicate complex data insights clearly and effectively, making sophisticated analytical concepts accessible to a non-technical audience.
Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. 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 characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant.
VEVRAA-Federal Contractor
If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.
Data Reporting Intern, Summer 2025
Data Science Internship Job In San Francisco, CA
The San Francisco Chronicle is looking for a summer intern to join our Data team, which develops quick-turn, graphics-focused stories, interactive projects and data-driven deep dives. This intern will receive training and mentoring and will hit the ground running, covering a variety of topics from the office and in the field. There will be opportunities to pursue projects aimed at engaging our audience and to work closely with reporting teams throughout the newsroom.
The successful candidate will work quickly but responsibly on data stories that help readers understand and explore their communities through unique reporting, data analysis and interactive graphics creation. This paid 12-week internship typically lasts from June to August.
What the data reporter will do:
Report and write graphics- and data-driven articles for our digital and print editions.
Conceive story ideas and work with editors and developers to enhance our storytelling.
Collaborate with newsroom reporters to produce unique, high-impact journalism.
Create assets to help promote and distribute the team's work.
What it will take to be successful:
Strong news judgment, creativity and meticulousness.
A dedication to organization and documentation.
Desire and ability to learn on the job.
Ability to report stories and write and build quickly while keeping the strictest commitment to fairness and accuracy.
Ability to work with multiple, large datasets, preferably using Python, R or similar coding languages.
Knowledge of current multimedia storytelling and desire to experiment with new ways of engaging readers.
Ability to collaborate with all newsroom teams and work in a fast-changing news environment.
Plus: Web development or data visualization experience.
Plus: Mapping or GIS skills.
Requirements:
This position will be full time, based in the Bay Area for summer 2024. Weekend, evening and holiday work may be required as news warrants. All college students, including community college students or students who will have recently completed their associate or bachelor's degree, are encouraged to apply. Applications are due by Friday, Oct. 25, 2024.
About The San Francisco Chronicle and SFChronicle.com:
The San Francisco Chronicle (******************** is the largest newspaper in Northern California and the second largest on the West Coast. Acquired by Hearst Corp. in 2000, the San Francisco Chronicle was founded in 1865 by Charles and Michael de Young and has been awarded six Pulitzer Prizes for journalistic excellence.
Our award-winning journalists provide insight into the people and events shaping the Bay Area, investigate wrongdoing and waste, and deliver the quickest and most reliable coverage of breaking news in Northern California.
Join our team!
Staff Data Scientist, Data Platforms
Data Science Internship Job In San Francisco, CA
Quality data labels are critical to our evaluation and machine learning efforts across at Pinterest and are often used to guide teams toward a North Star that is either difficult or noisy to define using engagement measures. However, labeling with human evaluators at scale has limitations in both cost and time - it can be time-intensive to accurately define the tasks, costly to get large volumes of labels, and slow to collect the data. We're looking for a data scientist to join our team in pushing the boundaries of the mechanisms through which we obtain labels at scale - from statistical approaches that can better inform the labels we collect to prototypes to automatically craft prompts for LLMs to address the needed tasks. You will be a key member of an organization of talented data scientists innovating on data platforms and tools across the company.
What you'll do:
We are looking for an experienced and highly capable Data Scientist to help us drive step function improvements in our data labeling capabilities at Pinterest. In this role, you will:
Apply data science and analytics to identify opportunities to improve the throughput and quality of the data collection approaches used to collect labels today -- quantify the impact these improvements will have on our pace of innovation, and prototype solutions that measurably improve the outcome for the platform.
Build a roster of high-impact analytical opportunities that improve velocity, clarity and trust in our labeled data collection solutions.
Collaborate with customers of the platforms to understand whether data observations reflect their problems and pain-points, and with engineers to scale your successful prototypes to become integral components of the platform.
Up-level data scientists across the organization through mentorship, partnership and constructive feedback.
Evolve our strategy in close partnership with product and engineering leaders by building on the learnings uncovered by yourself and partners and shaping the evolution of our platforms and tools.
What we're looking for:
8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on large-scale data
5+ years of hands-on experience as an individual contributor using a deep understanding of scientific methods applied to data to drive business decisions
Proven track record of crafting high quality algorithmic code and identifying opportunities for efficiency and performance improvements through statistical methods
Experience with developing high quality prompts for LLMs
Demonstrated execution and impact on cross-functional initiatives, strong communication skills, and a track record of influencing leaders and peers using data
Self-propelled continuous learner who keeps up with new tools and methodologies and builds prototypes with concepts learned
Strong business and product sense who can shape vague questions into well-defined analyses and success metrics that drive business decisions
Bachelor's degree in a relevant field such as Computer Science, or equivalent experience
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
This role will need to be in the office for in-person collaboration 3-5 times/quarter and therefore can be situated anywhere in the country.
#LI-NM4
#LI-REMOTE
Data Scientist Intern
Data Science Internship Job 5 miles from San Francisco
Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft.
Job Description
As a data scientist intern, you will work alongside our small team of data scientists and engineers to improve our core technology and better serve our customers.
Responsibilities
Perform large-scale data analysis, find interesting patterns and translate them into product improvements
Experiment with different machine learning algorithms and statistical techniques and develop new product initiatives
Develop data infrastructure and improve data collection and processing tools and techniques
Qualifications
Pursuing BS, MS or PhD in Statistics, Applied Mathematics, Computer Science or another quantitative discipline. Advanced degree preferred
Proficient in SQL and able to write complex SQL queries
Experience with scripting languages such as Java and Python
Excellent problem-solving and analytical skills
Curious and creative about data, and comfort with ambiguity
Additional Information
We offer competitive salaries, meals, snacks, etc.
Data Scientist
Data Science Internship Job 38 miles from San Francisco
Sonata is a global technology company specializing in platform-based digital transformation, supporting businesses to become connected, open, intelligent and scalable. Sonata's Platformation™ methodology brings together industry expertise, platform technology excellence, design innovation and strategic engagement models to deliver sustained value to customers. A trusted partner of world leaders in the retail, manufacturing, distribution, travel, services and software industries, Sonata's software portfolio includes the Brick & Click Retail Platform©, Modern Distribution Platform©, Rezopia Digital Travel Platform©, Kartopia E-commerce Platform©, Halosys enterprise development automation Platform©, CTRM Commodity Trading and Risk Management Platform© and KODO - AI Powered Customer Experience (CX) Platform. Sonata's Platformation approach ensures services built on Microsoft Dynamics 365, Microsoft Azure, AWS, Cloud Engineering and Managed Services deliver on the Platformation promise. As world leaders in digital technologies including IoT, Artificial Intelligence, Machine Learning, Robotic Process Automation, Chatbots, Block Chain and Cyber Security, Sonata's people and systems are nurtured to deliver on our commitment to excellence in business technology solutions.
Job Title : Data Scientist with Logistics
Location: Bay Area , CA or Reno, NV. No remote (Weekly 5 days to Office)
Duration: 12 months Contract / Fulltime
Start Date : Immediate
Worked at a Trucking/Logistics/Freight companies: Uber Freight, Con-way, CH Robinson, Coyote Logistics, Flexport are some examples
Job Description:
Key Responsibilities:
·Analyzing data patterns and trends through statistical methods to understand the underlying relationships within the data
·Deep understanding of statistical modeling, machine learning algorithms, analytics concepts, and a track record of solving problems
·5 years of experience with developing ML models
·Prior experience in ML modeling using TensorFlow, Pytorch
·Model Development: Develop and deploy machine learning algorithms & models using Python and relevant libraries/frameworks
·Data Preprocessing, Address missing data, outliers, and anomalies using Databricks' robust data processing tools
·Feature Engineering Development
·Training Validation, Model Experimentation and Model Selection
·Hyper parameter tuning
·Presenting complex data insights through compelling visualizations like charts, graphs, and dashboards to effectively communicate findings to stakeholders
·Interpreting data insights and translating them into actionable business recommendations
Minimum Requirements:
Education: Bachelor's degree in computer science, Statistics, Mathematics, or related field.
Experience:
Minimum of 3 years of experience in data science - centric roles with a strong focus on analytics, data science, and machine learning.
Experience as Data Scientist in Freight / Logistics Industry is must.
Technical Skills:
·Proficiency in Python, SQL, or PySpark with strong programming skills
·Strong understanding of machine learning algorithms, model evaluation, and optimization techniques
·Proven track record of developing and deploying models in Production
Analytical Skills:
Robust analytical and problem-solving skills with a solid foundation in statistical methods.
Expertise in translating business issues into data-driven solutions using Databricks.
Why join Sonata Software?
At Sonata, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build never seen before solutions to some of the world's toughest problems. You´ll be challenged, but you will not be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
Sonata Software is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity, age, religion, disability, sexual orientation, veteran status, marital status, or any other characteristics protected by law.
Lead Data Scientist
Data Science Internship Job In San Francisco, CA
Job Title: Lead Data Scientist - Marketing Data Science
Salary: 180K-210K Base Salary
About the Role:
We are seeking a highly motivated and experienced Lead Data Scientist with a strong background in marketing analytics and data science to join our dynamic, fast-growing startup. This is a unique opportunity to play a pivotal role in shaping the future of data-driven marketing strategies. As the Lead Data Scientist, you will help drive business decisions through data models, predictive analytics, and experimentation, with a strong emphasis on customer acquisition, retention, and long-term growth.
You'll be joining a data science team that is both technical and business-oriented, working closely with cross-functional teams to optimize marketing efforts, understand customer behavior, and build impactful data models that drive business performance. If you thrive in a high-growth, data-rich environment and are passionate about applying your data science expertise to solve marketing challenges, we want to hear from you.
Key Responsibilities:
End-to-End Data Science: Build and deploy predictive models, from inception to production, providing actionable insights around demand-supply matching, customer behavior, and marketing strategy.
Marketing & Experimentation: Design and run A/B and multivariate tests, ad testing, creative optimization, and marketing spend distribution across various channels (e.g., social media, direct mail, TV).
Customer Acquisition & Retention: Analyze customer data and identify opportunities for increasing customer lifetime value (LTV), improving retention strategies, and optimizing pricing, promotions, and cross-selling.
Strategic Thinking: Contribute to long-term business strategy, focusing on how data science can improve marketing decision-making, enhance LTV, and reduce churn.
Collaborate Cross-Functionally: Work closely with marketing, data engineers, and software teams to integrate models into existing systems, improve processes, and provide ongoing feedback to optimize performance.
Modeling and Reporting: Help build and manage marketing models, including demand prediction, customer segmentation, and incrementality analysis. Leverage cloud-based platforms (AWS/Snowflake/Fivetran) for data pipeline management.
Ad-hoc Analysis: Conduct detailed analysis of marketing data to uncover trends, track key metrics, and provide insights to business leaders on campaign performance, user behavior, and market trends.
Portfolio Management: Oversee and manage projects, ensuring timely delivery and alignment with business goals, while providing leadership to junior team members
What We're Looking For:
Experience: Minimum 5+ years of hands-on experience in data science, with a focus on marketing or customer-facing products. Experience with consumer goods (CPG), subscription models, or life sciences is a plus.
Technical Skills:
Python (for model development and data analysis, no R)
ETL processes and familiarity with modern data stacks (e.g., Snowflake, AWS, DBT, Fivetran)
Tableau for data visualization (a dedicated team member handles most dashboarding)
Ability to build and deploy machine learning models to production
Business Acumen: Strong understanding of how data science can impact business goals, particularly in marketing. Ability to think strategically about product marketing, customer behavior, and business outcomes.
Soft Skills:
Excellent problem-solving abilities and critical thinking
High adaptability and comfort in an ambiguous, fast-paced environment
Strong communication skills with the ability to translate complex technical concepts for business stakeholders
Positive attitude, curiosity, and a collaborative mindset.
Data Scientist
Data Science Internship Job 59 miles from San Francisco
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.
Please visit Fractal | Intelligence for Imagination for more information about Fractal.
**Please Note: This role is specifically located in the North Bay area of San Francisco. You'll need to be onsite or have the ability to move. **
Role Overview
As a Data Scientist specializing in Machine Learning at Fractal Analytics, you will play a pivotal role in shaping and driving our AI strategies. Your primary focus will be developing and implementing Machine Learning and statistical models that transform and elevate our client's business operations.
Your responsibilities include:
Collaborating with internal teams to understand complex business challenges and identify opportunities for AI-driven solutions.
Designing, developing, evaluating, and deploying Machine Learning algorithms that turn data into actionable insights.
Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions.
Proactively working with large datasets, ensuring the integrity and effectiveness of data used in Machine Learning models.
Engaging with clients to translate business needs into technical requirements and Machine Learning solutions.
Leading initiatives to enhance our data analytics capabilities with a focus on predictive and prescriptive analytics through Machine Learning.
Qualifications:
Bachelor's or master's degree in computer science, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence.
Proficiency in Machine Learning algorithms and concepts such as supervised and unsupervised learning, neural networks, deep learning, etc.
Experience with data modeling and evaluation strategies.
Strong programming skills in Python, especially libraries used in data science like TensorFlow, PyTorch, Keras, Scikit-learn, etc.
Knowledge of data preprocessing, cleaning, and analysis techniques.
Familiarity with big data technologies such as Hadoop, Spark, or similar platforms.
At least 3-5 years of experience in a Machine Learning or data science role, with a proven track record of developing and deploying models that have driven business impact.
Experience working with large and complex datasets.
Prior exposure to cloud computing services like AWS, Azure, or Google Cloud Platform is advantageous.
Pay:
The 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 Fractal, 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: 115,000 to 185,000. In addition, you may be eligible for a discretionary bonus for the current performance period.
Benefits:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.
Fractal 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.
Data Scientist, Business
Data Science Internship Job In San Francisco, CA
About the Role
As a member of our Business Data Scientist team, you will help build a data-driven culture around insight generation, decision making, and strategy at OpenAI. You should expect to work on a wide range of projects like defining north-star metrics, designing tests, estimating the incrementality of marketing and sales, and establishing source-of-truth dashboards that our business teams can use to answer their own questions. Most importantly, you should expect to be a core member of the Business teams, helping to bring our technology to a wide range of customers and supporting our self-serve and sales-led motions.
This role is based in San Francisco, CA or New York, NY. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.
In this role, you will:
Embed with the GTM, User Ops, Marketing, and Partnerships organization as a trusted partner, uncovering new ways to improve the business and drive growth
Manage cross-functional data science projects about revenue, marketing, pricing, usage, and other topics core to the business.
Establish a data-driven culture by driving the definition, tracking, and operationalizing of metrics
Become an expert in OAI's data and systems. Through partnership with Data Eng, Finance and other business teams, you should be able to self-serve all the underlying data for our business and derive insights from them.
Develop and socialize dashboards, reports, and other ways of enabling the team and company to answer product data questions in a self-serve way
Partner with other data scientists across the company to share knowledge and continually synthesizing learnings across the organization
You might thrive in this role if you have:
At least 10+ years of experience in Data Science roles within dynamic, outcome-driven organizations.
Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies.
Proficiency in quantitative programming languages, such as Python and R.
Expertise in SQL, with extensive experience extracting large datasets and designing ETL workflows.
Experience using business intelligence tools, such as Mode, Tableau, and Looker.
Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks.
Ability to build relationships with diverse stakeholders and cultivate strong partnerships.
Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact.
Ability to craft clear data stories using decks, memos, and dashboards to drive decision-making at every level.
Best-in-class attention to detail and unwavering commitment to accuracy.
Proven track record in solving problems within Finance, Marketing, Partnerships, Sales, Support, or other GTM areas.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement
For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Data Scientist
Data Science Internship Job 59 miles from San Francisco
Sonata is a global technology company specializing in platform-based digital transformation, supporting businesses to become connected, open, intelligent and scalable. Sonata's Platformation™ methodology brings together industry expertise, platform technology excellence, design innovation and strategic engagement models to deliver sustained value to customers. A trusted partner of world leaders in the retail, manufacturing, distribution, travel, services and software industries, Sonata's software portfolio includes the Brick & Click Retail Platform©, Modern Distribution Platform©, Rezopia Digital Travel Platform©, Kartopia E-commerce Platform©, Halosys enterprise development automation Platform©, CTRM Commodity Trading and Risk Management Platform© and KODO - AI Powered Customer Experience (CX) Platform. Sonata's Platformation approach ensures services built on Microsoft Dynamics 365, Microsoft Azure, AWS, Cloud Engineering and Managed Services deliver on the Platformation promise. As world leaders in digital technologies including IoT, Artificial Intelligence, Machine Learning, Robotic Process Automation, Chatbots, Block Chain and Cyber Security, Sonata's people and systems are nurtured to deliver on our commitment to excellence in business technology solutions.
Job Title : Data Scientist with Logistics
Location: Bay Area , CA or Reno, NV. No remote (Weekly 5 days to Office)
Duration: 12 months Contract / Fulltime
Start Date : Immediate
Worked at a Trucking/Logistics/Freight companies: Uber Freight, Con-way, CH Robinson, Coyote Logistics, Flexport are some examples
Job Description:
Key Responsibilities:
·Analyzing data patterns and trends through statistical methods to understand the underlying relationships within the data
·Deep understanding of statistical modeling, machine learning algorithms, analytics concepts, and a track record of solving problems
·5 years of experience with developing ML models
·Prior experience in ML modeling using TensorFlow, Pytorch
·Model Development: Develop and deploy machine learning algorithms & models using Python and relevant libraries/frameworks
·Data Preprocessing, Address missing data, outliers, and anomalies using Databricks' robust data processing tools
·Feature Engineering Development
·Training Validation, Model Experimentation and Model Selection
·Hyper parameter tuning
·Presenting complex data insights through compelling visualizations like charts, graphs, and dashboards to effectively communicate findings to stakeholders
·Interpreting data insights and translating them into actionable business recommendations
Minimum Requirements:
Education: Bachelor's degree in computer science, Statistics, Mathematics, or related field.
Experience:
Minimum of 3 years of experience in data science - centric roles with a strong focus on analytics, data science, and machine learning.
Experience as Data Scientist in Freight / Logistics Industry is must.
Technical Skills:
·Proficiency in Python, SQL, or PySpark with strong programming skills
·Strong understanding of machine learning algorithms, model evaluation, and optimization techniques
·Proven track record of developing and deploying models in Production
Analytical Skills:
Robust analytical and problem-solving skills with a solid foundation in statistical methods.
Expertise in translating business issues into data-driven solutions using Databricks.
Why join Sonata Software?
At Sonata, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build never seen before solutions to some of the world's toughest problems. You´ll be challenged, but you will not be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
Sonata Software is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity, age, religion, disability, sexual orientation, veteran status, marital status, or any other characteristics protected by law.
Data Scientist
Data Science Internship Job 38 miles from San Francisco
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.
Please visit Fractal | Intelligence for Imagination for more information about Fractal.
**Please Note: This role is specifically located in the North Bay area of San Francisco. You'll need to be onsite or have the ability to move. **
Role Overview
As a Data Scientist specializing in Machine Learning at Fractal Analytics, you will play a pivotal role in shaping and driving our AI strategies. Your primary focus will be developing and implementing Machine Learning and statistical models that transform and elevate our client's business operations.
Your responsibilities include:
Collaborating with internal teams to understand complex business challenges and identify opportunities for AI-driven solutions.
Designing, developing, evaluating, and deploying Machine Learning algorithms that turn data into actionable insights.
Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions.
Proactively working with large datasets, ensuring the integrity and effectiveness of data used in Machine Learning models.
Engaging with clients to translate business needs into technical requirements and Machine Learning solutions.
Leading initiatives to enhance our data analytics capabilities with a focus on predictive and prescriptive analytics through Machine Learning.
Qualifications:
Bachelor's or master's degree in computer science, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence.
Proficiency in Machine Learning algorithms and concepts such as supervised and unsupervised learning, neural networks, deep learning, etc.
Experience with data modeling and evaluation strategies.
Strong programming skills in Python, especially libraries used in data science like TensorFlow, PyTorch, Keras, Scikit-learn, etc.
Knowledge of data preprocessing, cleaning, and analysis techniques.
Familiarity with big data technologies such as Hadoop, Spark, or similar platforms.
At least 3-5 years of experience in a Machine Learning or data science role, with a proven track record of developing and deploying models that have driven business impact.
Experience working with large and complex datasets.
Prior exposure to cloud computing services like AWS, Azure, or Google Cloud Platform is advantageous.
Pay:
The 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 Fractal, 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: 115,000 to 185,000. In addition, you may be eligible for a discretionary bonus for the current performance period.
Benefits:
As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation.
Fractal 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.