career services overview - ischool.berkeley.edu€¦ · career services overview . rebecca andersen...
TRANSCRIPT
Career Services Overview Rebecca Andersen Director of Career Services
Laurie Haskell-Woerner Career Advisor
2
Career Outcomes Career Services Job MarketJob Search Maximize MIDS
3
Career Outcomes
Top Position Titles
42 Data ScientistSr Data Scientist
27 EngineerArchitect (Data or SW)
14 ManagerDirector (DS or Analytics)
12 DataProduct Analyst
8 Executive (C-level VP Founder)
MIDS Graduate Outcomes
Selected Employers
Results based on career surveys graduates thru Aug lsquo16 as well as LinkedIn analysis
78 salary increase
$135k Graduate median salary amp bonus
base salary range= 60k - 211k
68 change in position
34 promotion
MIDS Career Paths
Data Analyst
Data Scientist
Consultant Other
Data Scientist
Software Engineer
Data Engineering
Data Scientist Engineer
Data Science Manager
6
Career Services
7
Career Advising bullTargeted 11 Advising
bullSample topics ndash Career exploration
ndash Job search
ndash Personal brand
ndash Career basics
8
Resumes amp LinkedIn bullResume Reviews
bull LinkedIn Reviews
bullResume Books
9
Career Resources bullReference Guides
bull Links
bull Job Board
bullWebinars
10
Connections bullAlumni Network
ndash Panel Discussions ndash LinkedIn ndash Info Interviewing
bullEmployer Connections ndash Networking Events ndash Guest Speakers ndash Webinars ndash ImmersionConferences
bullFellow Students ndash Slack
11
Job Market Job Search
12
Job titles explained
Principal
Business Intelligence
Business Intelligence
Data Developer
Analyst Research
Research
Business
Intelligence Manager
Associate Mining
13
Job Search Steps Research amp identify target jobscompanies industries
Data science is everywhere but job titles are inconsistent
Update resumeLinkedIn profile Whatrsquos your brand
Create online portfolio with data science projects Employers ARE looking
Prepare for interviews Traditional amp technical
Network network network I School amp greater data science community
Apply and interview Get referrals from your network whenever possible
Evaluate amp negotiate offers Research salaries
14
Maximize MIDS
15
While in MIDShellip Choose projects thoughtfully Immersion Gain data experience at current job if possible Do side projects if possible
Kaggle competitions volunteer w Datakind collaborate with I School peers
Network network network Read data science news
KDNuggets Open Data Science Data Science Weekly OrsquoReilly Media newsletters LinkedIn data science news channel
Attend data science conferencesmeetups Get on the I School Slack (careers jobs-and-internships)
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-
2
Career Outcomes Career Services Job MarketJob Search Maximize MIDS
3
Career Outcomes
Top Position Titles
42 Data ScientistSr Data Scientist
27 EngineerArchitect (Data or SW)
14 ManagerDirector (DS or Analytics)
12 DataProduct Analyst
8 Executive (C-level VP Founder)
MIDS Graduate Outcomes
Selected Employers
Results based on career surveys graduates thru Aug lsquo16 as well as LinkedIn analysis
78 salary increase
$135k Graduate median salary amp bonus
base salary range= 60k - 211k
68 change in position
34 promotion
MIDS Career Paths
Data Analyst
Data Scientist
Consultant Other
Data Scientist
Software Engineer
Data Engineering
Data Scientist Engineer
Data Science Manager
6
Career Services
7
Career Advising bullTargeted 11 Advising
bullSample topics ndash Career exploration
ndash Job search
ndash Personal brand
ndash Career basics
8
Resumes amp LinkedIn bullResume Reviews
bull LinkedIn Reviews
bullResume Books
9
Career Resources bullReference Guides
bull Links
bull Job Board
bullWebinars
10
Connections bullAlumni Network
ndash Panel Discussions ndash LinkedIn ndash Info Interviewing
bullEmployer Connections ndash Networking Events ndash Guest Speakers ndash Webinars ndash ImmersionConferences
bullFellow Students ndash Slack
11
Job Market Job Search
12
Job titles explained
Principal
Business Intelligence
Business Intelligence
Data Developer
Analyst Research
Research
Business
Intelligence Manager
Associate Mining
13
Job Search Steps Research amp identify target jobscompanies industries
Data science is everywhere but job titles are inconsistent
Update resumeLinkedIn profile Whatrsquos your brand
Create online portfolio with data science projects Employers ARE looking
Prepare for interviews Traditional amp technical
Network network network I School amp greater data science community
Apply and interview Get referrals from your network whenever possible
Evaluate amp negotiate offers Research salaries
14
Maximize MIDS
15
While in MIDShellip Choose projects thoughtfully Immersion Gain data experience at current job if possible Do side projects if possible
Kaggle competitions volunteer w Datakind collaborate with I School peers
Network network network Read data science news
KDNuggets Open Data Science Data Science Weekly OrsquoReilly Media newsletters LinkedIn data science news channel
Attend data science conferencesmeetups Get on the I School Slack (careers jobs-and-internships)
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-
3
Career Outcomes
Top Position Titles
42 Data ScientistSr Data Scientist
27 EngineerArchitect (Data or SW)
14 ManagerDirector (DS or Analytics)
12 DataProduct Analyst
8 Executive (C-level VP Founder)
MIDS Graduate Outcomes
Selected Employers
Results based on career surveys graduates thru Aug lsquo16 as well as LinkedIn analysis
78 salary increase
$135k Graduate median salary amp bonus
base salary range= 60k - 211k
68 change in position
34 promotion
MIDS Career Paths
Data Analyst
Data Scientist
Consultant Other
Data Scientist
Software Engineer
Data Engineering
Data Scientist Engineer
Data Science Manager
6
Career Services
7
Career Advising bullTargeted 11 Advising
bullSample topics ndash Career exploration
ndash Job search
ndash Personal brand
ndash Career basics
8
Resumes amp LinkedIn bullResume Reviews
bull LinkedIn Reviews
bullResume Books
9
Career Resources bullReference Guides
bull Links
bull Job Board
bullWebinars
10
Connections bullAlumni Network
ndash Panel Discussions ndash LinkedIn ndash Info Interviewing
bullEmployer Connections ndash Networking Events ndash Guest Speakers ndash Webinars ndash ImmersionConferences
bullFellow Students ndash Slack
11
Job Market Job Search
12
Job titles explained
Principal
Business Intelligence
Business Intelligence
Data Developer
Analyst Research
Research
Business
Intelligence Manager
Associate Mining
13
Job Search Steps Research amp identify target jobscompanies industries
Data science is everywhere but job titles are inconsistent
Update resumeLinkedIn profile Whatrsquos your brand
Create online portfolio with data science projects Employers ARE looking
Prepare for interviews Traditional amp technical
Network network network I School amp greater data science community
Apply and interview Get referrals from your network whenever possible
Evaluate amp negotiate offers Research salaries
14
Maximize MIDS
15
While in MIDShellip Choose projects thoughtfully Immersion Gain data experience at current job if possible Do side projects if possible
Kaggle competitions volunteer w Datakind collaborate with I School peers
Network network network Read data science news
KDNuggets Open Data Science Data Science Weekly OrsquoReilly Media newsletters LinkedIn data science news channel
Attend data science conferencesmeetups Get on the I School Slack (careers jobs-and-internships)
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-
Top Position Titles
42 Data ScientistSr Data Scientist
27 EngineerArchitect (Data or SW)
14 ManagerDirector (DS or Analytics)
12 DataProduct Analyst
8 Executive (C-level VP Founder)
MIDS Graduate Outcomes
Selected Employers
Results based on career surveys graduates thru Aug lsquo16 as well as LinkedIn analysis
78 salary increase
$135k Graduate median salary amp bonus
base salary range= 60k - 211k
68 change in position
34 promotion
MIDS Career Paths
Data Analyst
Data Scientist
Consultant Other
Data Scientist
Software Engineer
Data Engineering
Data Scientist Engineer
Data Science Manager
6
Career Services
7
Career Advising bullTargeted 11 Advising
bullSample topics ndash Career exploration
ndash Job search
ndash Personal brand
ndash Career basics
8
Resumes amp LinkedIn bullResume Reviews
bull LinkedIn Reviews
bullResume Books
9
Career Resources bullReference Guides
bull Links
bull Job Board
bullWebinars
10
Connections bullAlumni Network
ndash Panel Discussions ndash LinkedIn ndash Info Interviewing
bullEmployer Connections ndash Networking Events ndash Guest Speakers ndash Webinars ndash ImmersionConferences
bullFellow Students ndash Slack
11
Job Market Job Search
12
Job titles explained
Principal
Business Intelligence
Business Intelligence
Data Developer
Analyst Research
Research
Business
Intelligence Manager
Associate Mining
13
Job Search Steps Research amp identify target jobscompanies industries
Data science is everywhere but job titles are inconsistent
Update resumeLinkedIn profile Whatrsquos your brand
Create online portfolio with data science projects Employers ARE looking
Prepare for interviews Traditional amp technical
Network network network I School amp greater data science community
Apply and interview Get referrals from your network whenever possible
Evaluate amp negotiate offers Research salaries
14
Maximize MIDS
15
While in MIDShellip Choose projects thoughtfully Immersion Gain data experience at current job if possible Do side projects if possible
Kaggle competitions volunteer w Datakind collaborate with I School peers
Network network network Read data science news
KDNuggets Open Data Science Data Science Weekly OrsquoReilly Media newsletters LinkedIn data science news channel
Attend data science conferencesmeetups Get on the I School Slack (careers jobs-and-internships)
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-
MIDS Career Paths
Data Analyst
Data Scientist
Consultant Other
Data Scientist
Software Engineer
Data Engineering
Data Scientist Engineer
Data Science Manager
6
Career Services
7
Career Advising bullTargeted 11 Advising
bullSample topics ndash Career exploration
ndash Job search
ndash Personal brand
ndash Career basics
8
Resumes amp LinkedIn bullResume Reviews
bull LinkedIn Reviews
bullResume Books
9
Career Resources bullReference Guides
bull Links
bull Job Board
bullWebinars
10
Connections bullAlumni Network
ndash Panel Discussions ndash LinkedIn ndash Info Interviewing
bullEmployer Connections ndash Networking Events ndash Guest Speakers ndash Webinars ndash ImmersionConferences
bullFellow Students ndash Slack
11
Job Market Job Search
12
Job titles explained
Principal
Business Intelligence
Business Intelligence
Data Developer
Analyst Research
Research
Business
Intelligence Manager
Associate Mining
13
Job Search Steps Research amp identify target jobscompanies industries
Data science is everywhere but job titles are inconsistent
Update resumeLinkedIn profile Whatrsquos your brand
Create online portfolio with data science projects Employers ARE looking
Prepare for interviews Traditional amp technical
Network network network I School amp greater data science community
Apply and interview Get referrals from your network whenever possible
Evaluate amp negotiate offers Research salaries
14
Maximize MIDS
15
While in MIDShellip Choose projects thoughtfully Immersion Gain data experience at current job if possible Do side projects if possible
Kaggle competitions volunteer w Datakind collaborate with I School peers
Network network network Read data science news
KDNuggets Open Data Science Data Science Weekly OrsquoReilly Media newsletters LinkedIn data science news channel
Attend data science conferencesmeetups Get on the I School Slack (careers jobs-and-internships)
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-
6
Career Services
7
Career Advising bullTargeted 11 Advising
bullSample topics ndash Career exploration
ndash Job search
ndash Personal brand
ndash Career basics
8
Resumes amp LinkedIn bullResume Reviews
bull LinkedIn Reviews
bullResume Books
9
Career Resources bullReference Guides
bull Links
bull Job Board
bullWebinars
10
Connections bullAlumni Network
ndash Panel Discussions ndash LinkedIn ndash Info Interviewing
bullEmployer Connections ndash Networking Events ndash Guest Speakers ndash Webinars ndash ImmersionConferences
bullFellow Students ndash Slack
11
Job Market Job Search
12
Job titles explained
Principal
Business Intelligence
Business Intelligence
Data Developer
Analyst Research
Research
Business
Intelligence Manager
Associate Mining
13
Job Search Steps Research amp identify target jobscompanies industries
Data science is everywhere but job titles are inconsistent
Update resumeLinkedIn profile Whatrsquos your brand
Create online portfolio with data science projects Employers ARE looking
Prepare for interviews Traditional amp technical
Network network network I School amp greater data science community
Apply and interview Get referrals from your network whenever possible
Evaluate amp negotiate offers Research salaries
14
Maximize MIDS
15
While in MIDShellip Choose projects thoughtfully Immersion Gain data experience at current job if possible Do side projects if possible
Kaggle competitions volunteer w Datakind collaborate with I School peers
Network network network Read data science news
KDNuggets Open Data Science Data Science Weekly OrsquoReilly Media newsletters LinkedIn data science news channel
Attend data science conferencesmeetups Get on the I School Slack (careers jobs-and-internships)
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-
7
Career Advising bullTargeted 11 Advising
bullSample topics ndash Career exploration
ndash Job search
ndash Personal brand
ndash Career basics
8
Resumes amp LinkedIn bullResume Reviews
bull LinkedIn Reviews
bullResume Books
9
Career Resources bullReference Guides
bull Links
bull Job Board
bullWebinars
10
Connections bullAlumni Network
ndash Panel Discussions ndash LinkedIn ndash Info Interviewing
bullEmployer Connections ndash Networking Events ndash Guest Speakers ndash Webinars ndash ImmersionConferences
bullFellow Students ndash Slack
11
Job Market Job Search
12
Job titles explained
Principal
Business Intelligence
Business Intelligence
Data Developer
Analyst Research
Research
Business
Intelligence Manager
Associate Mining
13
Job Search Steps Research amp identify target jobscompanies industries
Data science is everywhere but job titles are inconsistent
Update resumeLinkedIn profile Whatrsquos your brand
Create online portfolio with data science projects Employers ARE looking
Prepare for interviews Traditional amp technical
Network network network I School amp greater data science community
Apply and interview Get referrals from your network whenever possible
Evaluate amp negotiate offers Research salaries
14
Maximize MIDS
15
While in MIDShellip Choose projects thoughtfully Immersion Gain data experience at current job if possible Do side projects if possible
Kaggle competitions volunteer w Datakind collaborate with I School peers
Network network network Read data science news
KDNuggets Open Data Science Data Science Weekly OrsquoReilly Media newsletters LinkedIn data science news channel
Attend data science conferencesmeetups Get on the I School Slack (careers jobs-and-internships)
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-
8
Resumes amp LinkedIn bullResume Reviews
bull LinkedIn Reviews
bullResume Books
9
Career Resources bullReference Guides
bull Links
bull Job Board
bullWebinars
10
Connections bullAlumni Network
ndash Panel Discussions ndash LinkedIn ndash Info Interviewing
bullEmployer Connections ndash Networking Events ndash Guest Speakers ndash Webinars ndash ImmersionConferences
bullFellow Students ndash Slack
11
Job Market Job Search
12
Job titles explained
Principal
Business Intelligence
Business Intelligence
Data Developer
Analyst Research
Research
Business
Intelligence Manager
Associate Mining
13
Job Search Steps Research amp identify target jobscompanies industries
Data science is everywhere but job titles are inconsistent
Update resumeLinkedIn profile Whatrsquos your brand
Create online portfolio with data science projects Employers ARE looking
Prepare for interviews Traditional amp technical
Network network network I School amp greater data science community
Apply and interview Get referrals from your network whenever possible
Evaluate amp negotiate offers Research salaries
14
Maximize MIDS
15
While in MIDShellip Choose projects thoughtfully Immersion Gain data experience at current job if possible Do side projects if possible
Kaggle competitions volunteer w Datakind collaborate with I School peers
Network network network Read data science news
KDNuggets Open Data Science Data Science Weekly OrsquoReilly Media newsletters LinkedIn data science news channel
Attend data science conferencesmeetups Get on the I School Slack (careers jobs-and-internships)
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-
9
Career Resources bullReference Guides
bull Links
bull Job Board
bullWebinars
10
Connections bullAlumni Network
ndash Panel Discussions ndash LinkedIn ndash Info Interviewing
bullEmployer Connections ndash Networking Events ndash Guest Speakers ndash Webinars ndash ImmersionConferences
bullFellow Students ndash Slack
11
Job Market Job Search
12
Job titles explained
Principal
Business Intelligence
Business Intelligence
Data Developer
Analyst Research
Research
Business
Intelligence Manager
Associate Mining
13
Job Search Steps Research amp identify target jobscompanies industries
Data science is everywhere but job titles are inconsistent
Update resumeLinkedIn profile Whatrsquos your brand
Create online portfolio with data science projects Employers ARE looking
Prepare for interviews Traditional amp technical
Network network network I School amp greater data science community
Apply and interview Get referrals from your network whenever possible
Evaluate amp negotiate offers Research salaries
14
Maximize MIDS
15
While in MIDShellip Choose projects thoughtfully Immersion Gain data experience at current job if possible Do side projects if possible
Kaggle competitions volunteer w Datakind collaborate with I School peers
Network network network Read data science news
KDNuggets Open Data Science Data Science Weekly OrsquoReilly Media newsletters LinkedIn data science news channel
Attend data science conferencesmeetups Get on the I School Slack (careers jobs-and-internships)
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-
10
Connections bullAlumni Network
ndash Panel Discussions ndash LinkedIn ndash Info Interviewing
bullEmployer Connections ndash Networking Events ndash Guest Speakers ndash Webinars ndash ImmersionConferences
bullFellow Students ndash Slack
11
Job Market Job Search
12
Job titles explained
Principal
Business Intelligence
Business Intelligence
Data Developer
Analyst Research
Research
Business
Intelligence Manager
Associate Mining
13
Job Search Steps Research amp identify target jobscompanies industries
Data science is everywhere but job titles are inconsistent
Update resumeLinkedIn profile Whatrsquos your brand
Create online portfolio with data science projects Employers ARE looking
Prepare for interviews Traditional amp technical
Network network network I School amp greater data science community
Apply and interview Get referrals from your network whenever possible
Evaluate amp negotiate offers Research salaries
14
Maximize MIDS
15
While in MIDShellip Choose projects thoughtfully Immersion Gain data experience at current job if possible Do side projects if possible
Kaggle competitions volunteer w Datakind collaborate with I School peers
Network network network Read data science news
KDNuggets Open Data Science Data Science Weekly OrsquoReilly Media newsletters LinkedIn data science news channel
Attend data science conferencesmeetups Get on the I School Slack (careers jobs-and-internships)
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-
11
Job Market Job Search
12
Job titles explained
Principal
Business Intelligence
Business Intelligence
Data Developer
Analyst Research
Research
Business
Intelligence Manager
Associate Mining
13
Job Search Steps Research amp identify target jobscompanies industries
Data science is everywhere but job titles are inconsistent
Update resumeLinkedIn profile Whatrsquos your brand
Create online portfolio with data science projects Employers ARE looking
Prepare for interviews Traditional amp technical
Network network network I School amp greater data science community
Apply and interview Get referrals from your network whenever possible
Evaluate amp negotiate offers Research salaries
14
Maximize MIDS
15
While in MIDShellip Choose projects thoughtfully Immersion Gain data experience at current job if possible Do side projects if possible
Kaggle competitions volunteer w Datakind collaborate with I School peers
Network network network Read data science news
KDNuggets Open Data Science Data Science Weekly OrsquoReilly Media newsletters LinkedIn data science news channel
Attend data science conferencesmeetups Get on the I School Slack (careers jobs-and-internships)
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-
12
Job titles explained
Principal
Business Intelligence
Business Intelligence
Data Developer
Analyst Research
Research
Business
Intelligence Manager
Associate Mining
13
Job Search Steps Research amp identify target jobscompanies industries
Data science is everywhere but job titles are inconsistent
Update resumeLinkedIn profile Whatrsquos your brand
Create online portfolio with data science projects Employers ARE looking
Prepare for interviews Traditional amp technical
Network network network I School amp greater data science community
Apply and interview Get referrals from your network whenever possible
Evaluate amp negotiate offers Research salaries
14
Maximize MIDS
15
While in MIDShellip Choose projects thoughtfully Immersion Gain data experience at current job if possible Do side projects if possible
Kaggle competitions volunteer w Datakind collaborate with I School peers
Network network network Read data science news
KDNuggets Open Data Science Data Science Weekly OrsquoReilly Media newsletters LinkedIn data science news channel
Attend data science conferencesmeetups Get on the I School Slack (careers jobs-and-internships)
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-
13
Job Search Steps Research amp identify target jobscompanies industries
Data science is everywhere but job titles are inconsistent
Update resumeLinkedIn profile Whatrsquos your brand
Create online portfolio with data science projects Employers ARE looking
Prepare for interviews Traditional amp technical
Network network network I School amp greater data science community
Apply and interview Get referrals from your network whenever possible
Evaluate amp negotiate offers Research salaries
14
Maximize MIDS
15
While in MIDShellip Choose projects thoughtfully Immersion Gain data experience at current job if possible Do side projects if possible
Kaggle competitions volunteer w Datakind collaborate with I School peers
Network network network Read data science news
KDNuggets Open Data Science Data Science Weekly OrsquoReilly Media newsletters LinkedIn data science news channel
Attend data science conferencesmeetups Get on the I School Slack (careers jobs-and-internships)
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-
14
Maximize MIDS
15
While in MIDShellip Choose projects thoughtfully Immersion Gain data experience at current job if possible Do side projects if possible
Kaggle competitions volunteer w Datakind collaborate with I School peers
Network network network Read data science news
KDNuggets Open Data Science Data Science Weekly OrsquoReilly Media newsletters LinkedIn data science news channel
Attend data science conferencesmeetups Get on the I School Slack (careers jobs-and-internships)
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-
15
While in MIDShellip Choose projects thoughtfully Immersion Gain data experience at current job if possible Do side projects if possible
Kaggle competitions volunteer w Datakind collaborate with I School peers
Network network network Read data science news
KDNuggets Open Data Science Data Science Weekly OrsquoReilly Media newsletters LinkedIn data science news channel
Attend data science conferencesmeetups Get on the I School Slack (careers jobs-and-internships)
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-
16
Questions ldquoNothing will work unless you dordquo
Maya Angelou
- Career Services Overview
- Slide Number 2
- Slide Number 3
- Slide Number 4
- Slide Number 5
- Slide Number 6
- Career Advising
- Resumes amp LinkedIn
- Career Resources
- Connections
- Slide Number 11
- Job titles explained
- Job Search Steps
- Slide Number 14
- While in MIDShellip
- Slide Number 16
-