data scientist ii

EVA pharma

<div>
 
 Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
 
 
 
 Job Summary:
 
 
 We are seeking a passionate and talented
 
 Data Scientist II
 
 to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges
 </li>
 <li>
 Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement
 </li>
 <li>
 Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact
 </li>
 <li>
 Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions
 </li>
 <li>
 Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
 </li>
 </ul>
 <ul>
 <li>
 2-4 years of experience as a Data Scientist or in a similar analytical role
 </li>
 <li>
 Strong command of Python and SQL, with hands-on experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
 </li>
 <li>
 Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports
 </li>
 <li>
 Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences
 </li>
 </ul>
</div>

Data Scientist II

Oscar Health

<div>
 Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.
 
 
 Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family.
 
 
 
 About The Role
 
 
 
 Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.
 
 
 As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you&rsquo;ll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.
 
 
 This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.
 
 
 You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.
 
 
 
 Work Location:
 
 This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule.
 
 
 
 Pay Transparency:
 
 The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
 </li>
 <li>
 Own projects end-to-end, including problem definition, implementation, validation, and iteration
 </li>
 <li>
 Deliver high-quality analytical and modeling outputs with limited manager oversight
 </li>
 <li>
 Collaborate closely with data science peers and cross-functional partners across business units
 </li>
 <li>
 Help ensure data science processes and outputs align with broader team strategies and roadmaps
 </li>
 <li>
 Provide guidance or informal mentorship to junior data scientists or analysts when needed
 </li>
 <li>
 Contribute to improving data science practices, tooling, and documentation
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
 </li>
 <li>
 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
 </li>
 <li>
 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in a quantitative or technical field
 </li>
 <li>
 Knowledge of or previous work experience in health care or health insurance
 </li>
 <li>
 Experience mentoring or supporting junior team members
 </li>
 <li>
 Experience deploying or supporting models in production environments
 
 
 </li>
 </ul>
 This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.
 
 
 At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.
 
 
 
 Pay Transparency:
 
 Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.
 
 
 
 Artificial Intelligence (AI):
 
 Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.
 
 
 
 Reasonable Accommodation:
 
 Oscar applicants are considered solely based on their qualifications, without regard to applicant&rsquo;s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.
 
 
 
 California Residents:
 
 For information about our collection, use, and disclosure of applicants&rsquo; personal information as well as applicants&rsquo; rights over their personal information, please see our Privacy Policy.
 
 
</div>

Uber

<div>About the Role
 
 
We're looking for a data scientist to join Uber's Account Actioning Data Science team to provide data expertise to ensure that our policies on gaining and maintaining access to the Uber platform are transparent and fair. This will be a highly cross-functional role that will work closely with operations, engineering, product management, and partner data teams. You will build out and own product and operations metrics, provide key insights, conduct deep dive analysis to understand new opportunities and present findings, and work with cross-functional partners on coming up with new policy and product solutions while measuring impact. You will play an influential role in helping drive critical product and policy decisions.
 
 
What the Candidate Will Need / Bonus Points
- What the Candidate Will Do - 
 
 
<ul><li>Refine ambiguous questions and generate new hypotheses about the product and business through a deep understanding of the data, our customers, and our business.
</li><li>Define how our teams measure success, by developing Key Performance Indicators and other user/business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing.
</li><li>Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
</li><li>Develop data-driven business insights and work with cross-functional partners to identify opportunities and recommend prioritization of product, growth, and optimization initiatives.
</li></ul>- Basic Qualifications - 
 
 
<ul><li>3+ years proven experience in product analytics or ontological data modeling.
</li><li>M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
</li><li>Advanced SQL and Python expertise.
</li><li>Basic understanding of experimental design (such as A/B experiments) and statistical methods.
</li><li>Ability and experience in extracting insights from data, and summarizing learnings / takeaways.
</li><li>Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar).
</li><li>Excellent judgment, critical-thinking, and decision-making skills.
</li><li>Balance attention to detail with swift execution.
</li></ul>- Preferred Qualifications - 
 
 
<ul><li>Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative fields.
</li><li>4+ years industry experience in consumer facing product analytics.
</li><li>Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story.
</li><li>Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds.
</li>Ability to solve complex business problems that cross multiple product/project areas and teams. 
<li>
</li></ul> 
 
For San Francisco, CA-based roles: The base salary range for this role is USD$142,000 per year - USD$158,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Truist

<div>The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)<h3 class="jobSectionHeader">
Please review the following job description:</h3>
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc.) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
ESSENTIAL DUTIES AND RESPONSIBILITIES 
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 
1. Independently perform sophisticated data analytics (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data. 
2. Produce compelling data visualizations to communicate insights and influence outcomes among a wide array of stakeholders. 
3. Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome. 
4. Engage in stakeholder meetings to identify business objectives and scope solution requirements. 
5. Independently write, document, and deploy custom code in a variety of environments (Python, SAS, R, etc.) to create predictive analytics applications. 
6. Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets. 
7. Actively research and advocate adoption of emerging methods and technologies in the data science field, with the eye of continually advancing Truist&rsquo;s capabilities. 
8. Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partner with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities. 
QUALIFICATIONS 
Required Qualifications: 
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 
1. Bachelor&rsquo;s degree and four or more years of experience in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training 
2. Exhibit understanding of statistical methods, including a broad understanding of classical statistics, probability theory, econometrics, time-series, and primary statistical tests 
3. Familiarity with linear algebra concepts for optimization, complex matrix operations, eigenvalue decompositions, and principal components; working knowledge of calculus/differential equations, with understanding of stochastic processes 
4. Demonstrate understanding of data cleansing and preparation methodologies, including regex, filtering, indexing, interpolation, and outlier treatment 
5. Strong familiarity with data extraction in a variety of environments (SQL, JQuery, etc.) 
6. Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark 
7. Experience in managing multiple projects with tight deadlines in a collaborative environment
Preferred Qualifications: 
1. Master&rsquo;s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering 
2. Four years of relevant work experience if candidate lacks graduate degree 
3. Previous experience in the banking or fin-tech industry
OTHER JOB REQUIREMENTS / WORKING CONDITIONS
Sitting 
Constantly (More than 50% of the time) 
Visual / Audio / Speaking 
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone. 
Manual Dexterity / Keyboarding 
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers. 
Availability 
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need. 
Travel
 
Minimal and up to 10%
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist&rsquo;s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist&rsquo;s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work</div>

Fraud Data Scientist II

Tinder

<div>
 
 
 Our Mission
 
 
 
 
 
 
 Launched in 2012, Tinder&reg; 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, &ldquo;It Starts with a Swipe&rdquo;&trade;"
 
 
 
 
 
 
 
 
 
 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&rsquo;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&rsquo;re problem solvers, focusing on how to best move forward when faced with obstacles. We don&rsquo;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.
 
 
 
 
 
 
 The Team
 
 
 
 The Growth Data Science team is looking for curious individuals excited to drive data-informed
 
 
 decision-making at Tinder. We are a strategic partner to the Product team, and will be using our
 
 
 comprehensive datasets to develop experiments, understand metrics, develop automated
 
 
 reports, and generate exploratory insights to guide our business solutions. These insights are
 
 
 key in both the performance of our business and the experience of our members.
 
 
 
 
 
 This role has the opportunity to work on either the User Growth or Growth Platform teams within
 
 
 the Data Science Team. The User Growth team focuses on validating greenspace hypotheses
 
 
 and optimizing the core experience through growth levers and personalization, while the Growth
 
 
 Platform team focuses on optimizing and scaling messaging strategy through strategic channels and personalization. We will work closely with you to define what team would be the best match.
 
 
 
 
 
 
 Where you&rsquo;ll work:
 
 
 
 This position can be located in Los Angeles (preferred), San Francisco, Palo Alto, CA, or Dallas, TX
 
 
 
 
 
 
 
 
 
 In this role, you will:
 
 <li>
 Drive rigorous testing to validate hypotheses and guide business decisions
 </li>
 <li>
 Find the &ldquo;story&rdquo; in the data and readily share insights with product, engineering, and design
 </li>
 <li>
 as well as at a company level
 </li>
 <li>
 Be an authority with a point of view for the organization, using data to constantly challenge
 </li>
 <li>
 and reshape our current understanding of customer behavior and business performance
 </li>
 <li>
 Derive and communicate data-driven recommendations regarding both the prioritization of
 </li>
 <li>
 potential product/marketing initiatives and the performance of current initiatives
 </li>
 <li>
 Define and operationalize the detailed tracking of company-wide, team-specific, and product-
 </li>
 <li>
 specific performance metrics via rollout tables, dashboards, and automated reporting
 </li>
 
 
 
 
 You&rsquo;ll need:
 
 <li>
 Bachelor&rsquo;s degree in a quantitative field, Master&rsquo;s degree, or PhD with a social science background preferred
 </li>
 <li>
 2-4 years of professional working experience in Data Science and/or analytics
 </li>
 <li>
 Familiarity with two sided consumer ecosystem, specifically in the context of consumer technology
 </li>
 <li>
 Experience with SQL, data visualization tools (e.g., Tableau or Mode)
 </li>
 <li>
 Hands on experience in designing and implementing experiments (e.g. randomized testing, A/B testing) to drive key product decisions is required
 </li>
 <li>
 Familiarity with Python/R, using descriptive and inferential statistics and machine learning models
 </li>
 <li>
 Demonstrated ability to collaborate effectively with design, product, and engineering
 </li>
 <li>
 teams to advance key business initiatives from conceptualization to final product delivery
 </li>
 <li>
 Ability to develop a nuanced business understanding, testable hypotheses, and significant findings from data
 </li>
 <li>
 Ability to present data, actionable insights, technical concepts and approaches to technical and non-technical audiences
 </li>
 
 
 
 
 Differentiators:
 
 <li>
 Curiosity of how things work, from both a business and technical perspective, which could result in identifying and exploring new product opportunities, potential improvements to our data infrastructure, and diving deeply into understanding member behavior
 </li>
 <li>
 Proactive collaborator skilled in engaging with cross-functional teams (Product, Engineering, Machine Learning) to influence decision-making, confidently voicing concerns and alternative perspectives
 </li>
 <li>
 Ability to prioritize time across multiple projects and communicate timelines
 </li>
 
 
 
 
 As a full-time employee, you&rsquo;ll enjoy:
 
 <li>
 Unlimited PTO (with no waiting period), 10 annual Wellness Days
 </li>
 <li>
 Time off to volunteer and charitable donations matching&nbsp;
 </li>
 <li>
 Comprehensive health, vision, and dental coverage
 </li>
 <li>
 100% 401(k) employer match up to 10%, Employee Stock Purchase Plan (ESPP)
 </li>
 <li>
 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
 </li>
 <li>
 Investment in your development: mentorship through our MentorMatch program, access to 6,000+ online courses through Udemy, and an annual stipend for your professional development
 </li>
 <li>
 Investment in your wellness: access to mental health support via Modern Health, and Insight Timer; paid concierge medical membership, pet insurance, fitness membership subsidy, and commuter subsidy
 </li>
 <li>
 Free premium subscriptions for several Match Group apps &ndash; including Tinder Platinum!
 </li>
 
 
 
 
 
 
 
 #Tinder
 
 
 
 
 
 
 
 Commitment to Inclusion
 
 
 
 
 
 
 At Tinder, we don&rsquo;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&rsquo;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:&nbsp;https://www.lifeattinder.com/dei
 
 
 
 
 
 
 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
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. 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.
</div>

Data Scientist II, Growth

HNTB Corporation

<div>What We're Looking For
At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners.
This opportunity entails being responsible for designing and implementing data science solutions that address business challenges. You will collaborate with stakeholders to define analytical goals, build predictive models, and deploy scalable solutions using modern data science tools and techniques. The role includes mentoring junior team members, optimizing data workflows, and integrating advanced technologies such as cloud computing, AI/ML, and real-time analytics into business processes. This role builds on foundational skills and introduces broader responsibilities in technical execution, problem-solving, and team collaboration.
What You'll Do:
<ul><li>Analyzes large datasets to identify trends, patterns, and actionable insights.</li>
<li>Builds and validates predictive models using statistical and machine learning techniques.</li>
<li>Collaborates with stakeholders to define problem statements and data requirements.</li>
<li>Develops and maintains data pipelines and model deployment workflows.</li>
<li>Conducts A/B testing and evaluates model performance.</li>
<li>Mentors junior team members and contributes to knowledge sharing.</li>
<li>Presents findings to technical and non-technical audiences.</li>
<li>Performs other duties as assigned.</li>
</ul>What You'll Need:
<ul><li>Bachelor&rsquo;s degree in data science, statistics, computer science, computer engineering, or information systems and 2 years of relevant experience, or</li>
<li>Master&rsquo;s degree in data science, statistics, computer science, computer engineering, or information systems and 1 years of relevant experience, or</li>
<li>In lieu of education, 6 years of relevant experience</li>
</ul>What You'll Bring:
<ul><li>Experience applying data science to infrastructure/transportation use casessuch asasset analytics, deterioration modeling, resilience, or risk assessment.</li>
<li>Experience with statistical modeling, regression, and travelbehaviorand survey data.</li>
<li>ProficiencywithGIS,Python, R, SQL,or ETL pipelinesand experience communicating results throughArcGIS,Power BI, Tableau, or similar tools.</li>
<li>Demonstrated experience with machine learning algorithms and applied model development (e.g., k-NN, Naive Bayes, SVM, Decision Forests, etc.).</li>
<li>Strong stakeholder communication skills and comfort translating analytical results into actionable guidance.</li>
</ul>What We Prefer:
<ul><li>Master&rsquo;s degree in data science, statistics, computer science, computer engineering, or information systems</li>
</ul>Additional Information
Click here for benefits information: HNTB Total Rewards
Click here to learn more about Equal Opportunity Employer/Disability/Veteran
Visa sponsorship is not available for this position.
\#RN
.
Locations:
Atlanta, GA, Chicago, IL, Cleveland, OH, Minneapolis, MN, New York, NY
.
The approximate pay range for New York is $74,417.85 - $139,533.46. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
.
.
.
.
.
.
.
.
.
.
.
.
.
.
The approximate pay range for Ohio is $74,417.85 - $111,626.77. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
.
.
The approximate pay range for Minnesota is $78,138.74 - $117,208.11. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
.
The approximate pay range for Illinois is $81,859.63 - $122,789.44. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
.
The approximate nation wide pay range for this position is $74,417.85 - $139,533.46. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Actual compensation will be dependent on factors, including but not limited to, the individual&rsquo;s qualifications, experience, knowledge, skills, and abilities as well as physical work location within the state.
.
NOTICE TO THIRD-PARTY AGENCIES:
HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees.
Job Type: Regular
Full/Part Time: Full time
Job Category: Technical Group
ReqID: R-29829</div>

Data Scientist II – Asset Analytics and Transportation Modeling

Search 10000+ Data scientist ii jobs near you this April. New roles added regularly across leading industries. Apply today.

10000 data scientist ii jobs Near Me

Data Scientist II

Data Scientist II

Data Scientist II

Fraud Data Scientist II

Data Scientist II, Growth

Data Scientist II – Asset Analytics and Transportation Modeling

Data Scientist II – Asset Analytics and Transportation Modeling